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Cloud Application Security & Vulnerability Management Market 2021-2027: Trends, Opportunities and Industry Projections KSU | The Sentinel…

Cyber Security Issues amidst COVID-19 Crisis Lead to Downtime in Organizations

Cloud computing has taken the center stage during the ongoing COVID-19 (coronavirus) pandemic. However, companies in the cloud applicationsecurity & vulnerability managementmarket need to address security issues such as malware injection and hijacking of accounts to safeguard organizational information. Hence, users are investing in secure cloud platforms to avoid issues associated with cyber security.

Remote working with the help of cloud software has become increasingly mainstream in the past couple of months. However, phishing and social engineering attacks are on the rise during the ongoing COVID-19 era. Hence, companies in the cloud application security & vulnerability management market are becoming more equipped in tackling cyber threats. This is helping organizations to minimize downtime and meet optimum productivity levels. Companies are recommending organizations to use distributed cloud IT systems to address issues pertaining to cyber security.

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Cloud computing offers greater flexibility to enterprises in handling their work with the help of software, servers, and databases. However,cloud platformsare susceptible to unauthorized access by individuals who misuse employee credentials, resulting in a threat to confidential information in an organization. Hence, companies in the cloud application security & vulnerability management market should increase their R&D to develop platforms that enable secure login of employee credentials to avoid risks of security threats.

Intelligence-led security company FireEye Inc. has announced the launch of new cloud security innovations within its FireEye Helix platform, which supports collaboration via Microsoft Teams and Slack. It has been found that increasing number of organizations are now operating within the multi-cloud environment. This trend has created revenue opportunities for companies in the cloud application security & vulnerability management market, where the market is expected to cross the value ofUS$ 7.5 Bnby 2030.

Digitalization is becoming rampant in almost all end markets. Continuous digital evolution has become possible withcloud computing, thus creating an agile and hyper-connected network for offices operating in different parts of the world. However, in order to achieve this, users are demanding a secure architecture to efficiently handle supply and distribution chains via cloud computing. Hence, companies in the cloud application security & vulnerability management market are increasing efforts to minimize the complexities associated with security measures in software and applications.

Unhindered secure application access has become the need of the hour. Users are demanding system access from any part of the world and from any device to ease their business activities. Hence, companies in the cloud application security & vulnerability management market are introducing behavioral analysis and predictive analytics in systems to avoid security issues.

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Organizations that have a security-first mindset are better prepared to handle security threats. The democratization of cloud computing has helped startups to scale their business up to new heights with the help of fewer resources. Companies in the cloud application security & vulnerability management market are innovating in cloud architectures that offer world-class security measures to avoid risks of cyber threats. They are using security scripts to build new virtual servers that adapt to varying processing loads.

Since development teams have become the first line of defense in cloud computing, they are using pre-determined and pre-hardened standards to develop servers that swiftly and safely manage varying processing loads. Such innovations have led to a robust growth of the cloud application security & vulnerability management market, which is predicted to advance at a striking CAGR of ~14%during the assessment period.

IT leaders are realizing the importance of cloud platforms, which are found to be more secure as compared to on-premise setups. In order to improve customer experience, organizations are racing against time to innovate in their business practices with the aid of cloud computing. Hence, companies in the cloud application security & vulnerability management market are offering homogenous cloud architectures to make public cloud platforms more secure than traditional data centers.

Companies in the cloud application security & vulnerability management market are increasing efforts to develop public cloud platforms that can accommodate new security capabilities in order to keep pace with new threat vectors. As such, cloud providers are using their own public crowd platforms to host core business services such as SaaS or PaaS services. In addition, companies are investing to improve the cyber-resilience of platforms to offer future-proof cloud applications to users.

Compliance assurance and consistent security management are becoming important focus points for companies in the cloud application security & vulnerability management market. It has been found that organizations suffer sudden breach of security, thus leaving cloud applications with vulnerabilities. Hence, companies are recommending public cloud platforms that are integrated with centralized mechanisms and help to avoid events of security breach. Patching is another technique used by cloud providers to seal the vulnerabilities of platforms.

Various market drivers such as 5G mobile technology and IT-OT convergence are contributing toward the growth of the market. The proliferation of cloud computing in various end markets is anticipated to make intelligence on demand for cyber security within enterprises. Serverless cloud computing and hybrid cloud solutions are creating lucrative opportunities for companies in the cloud application security & vulnerability management market.

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AMD Finally Breaks The 10 Percent Server Share Barrier – The Next Platform

History doesnt really repeat itself, but it surely does use a lot of synonyms and rhymes, and sometimes, if you listen very closely, you can catch it muttering to itself.

It is with this in mind that we contemplate the recent data coming out of Mercury Research, which is the touchstone tracker of market share data for X86 processors for mobile and desktop PCs and when AMD launched itself into the server racket in 2003, it became the arbiter of official server share stats for the X86 server space.

After a six-year fight to get back into the datacenter, with an 11.5 percent shipment share of X86 processors sold into the datacenter in the first quarter of 2021 and a solid and credible roadmap against a staggering but recovering rival Intel, it is once again safe to bet on AMD processors in the datacenter with the Epyc line. And now we will see if AMD can meet the high water mark it set in the mid-2000s when it had 2.3X the market share that it currently is enjoying.

The Opteron chips set a very high bar for AMD to leap. The Sledgehammer Opteron processors were announced in the fall of 1999 and delivered in the spring of 2003 to great fanfare and a certain amount of resistance from server OEMs who were afraid of crossing Intel, which was nowhere as dominant as it is today, or rather was three years ago. The original Opterons were innovative in many ways, including having 64-bit processing and memory access, multicore designs from the get-go, HyperTransport interconnects, integrated DDR memory controllers, and integrated caches that sat on a ring instead of the frontside bus a bandwidth limiter and therefore a performance limiter employed by Intel.

When the Opterons launched, X86 servers comprised about half of server revenues, and the shipments of X86 server CPUs were considerably smaller than they are today. Take a look at this historical chart based on more than two decades of data from Mercury Research to see just how much the server world has changed thanks in large part to hyperscalers and public clouds:

This data runs from the first quarter of 2000, which marks the beginning of the dot-com bust, more or less, and back then, well shy of 1 million server CPUs per quarter were shipping. Shortly after the Opterons launched in early 2003, thanks to the aggressive pushes by IBM and Sun Microsystems and Cray, particularly in the HPC arena that was so hungry for cheaper 64-bit compute (RISC and proprietary CPUs were relatively expensive), memory capacity, memory bandwidth, and I/O bandwidth, AMD quickly rose to 5 percent share of server shipments. Intel fought back as best it could between 2003 and 2009, when its Opteron-alike Nehalem Xeon E5500 processors launched into the gaping maw of the Great Recession, which made OEMs and now ODMs as well as their hyperscaler and public cloud customers a bit skittish at the same time that the Opteron line ran into some bugs and some architectural issues. The Xeon server revamp and the steady cadence of architectural advances and manufacturing advances from Intel essentially forced AMD from the datacenter, and the company walked away about a decade after the Opterons launched. The server shipments just kept rolling faster and fast, eventually compelling AMD to re-enter the server arena.

If you look at that chart above, the question you have to ask is what kind of curve are we going to get for AMDs market share in the future? Is a new spike forming that will be as steep as we saw in the early years of the Opteron? In the second quarter of 2006 which was nearly three years before the Nehalem Xeon revamp AMD peaked at 26.2 percent share of server CPU sockets sold in a quarter. The rise was very fast, but the decline was about as steady and deadly. The climb during the three Epyc server chip generations, the first of which launched in the spring of 2017, has been a little more rapid than the Opteron decline, which is good. But it is nothing like the spike the Opterons saw as Intel hung on to 32-bit processing for Xeons as it tried to force people onto the 64-bit Itanium processors for servers.

Intel made a set of architectural blunders that gave AMD the opening for the Opterons and, as it turned out, it made a set of chip manufacturing blunders that would have also beset AMD if it had kept its foundry instead of spinning it out as GlobalFoundries and allowing itself to choose Taiwan Semiconductor Manufacturing Corp as its foundry. Think about that bullet AMD dodged. Imagine if it was trying to pick up the tab for a 7 nanometer EUV foundry, and then had to spike it as GlobalFoundries did back in August 2018. The mind reels. . . .

As it is, AMD has a very good partner in TSMC and has put very good processors into the field. If current trends persist, in about a year, AMD will be at around 25 percent market share, which is no doubt its goal even though Lisa Su, AMD president and chief executive officer, will never say that. Su pointed to the lower deck of 10 percent when the Naples Epyc 7001s launched four years ago, and there is no way she is going to point to the 25 percent upper deck for the Genoa Epyc 7004 or Turin Epyc 7005 processors due around 2022 and 2023, respectively. And for good reason. AMDs share of the desktop and mobile PC market hovers between 15 percent and 20 percent most of the time.

It is almost as if markets like 80-20 distributions for major and minor players, but the server market may not play out quite this way. Intel may, as bullies say in elementary school, get two for flinching. Like this:

It is entirely possible that Intels server decline will be similar in shape and slope as its rise over the past decade, especially if the big public clouds and HPC centers of the world embrace the Arm architecture and do custom chips and AMD also keeps the heat on Intel, too, in the X86 arena. Markets also like 65 percent, 25 percent, 10 percent stratifications or even 60 percent, 20 percent, 20 percent when there are three players competing. And, and, and if Arm architectures start being a conundrum for AMD, it may even have to dust off its own Arm server chip efforts or pick up some Neoverse tech and take on Nvidia in the high-end Arm CPU sector for HPC and AI applications.

Stranger things have happened, and history keeps whispering about them.

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Microsoft’s Python extension for VS Code just added the fast-coding Pylance language server – ZDNet

Microsoft has released a new version of its hit Python extension for its cross-platform code editor Visual Studio Code (VS Code) that makes its Pylance language server the default.

Microsoft started work on Pylance last June and promised it had "the ability to supercharge your Python IntelliSense experience with rich type information, helping you write better code faster."

IntelliSense is Microsoft's answer to automatic code completion to help developers skip through repetitive coding tasks and boost productivity.

SEE: Hiring Kit: Python developer (TechRepublic Premium)

The Python extension for VS Code is by far the most popular extension for the Microsoft code editor and speaks to the language's admiration when it comes to machine learning and data science, as well as the popularity of VS Code among developers.

"We're thrilled to announce that Pylance is now the default language server for Python and is bundled with the core Python extension as an optional extension starting with this release," said Savannah Ostrowski, a program manager for the Pylance Python Language Server and Python in Visual Studio.

The Pylance extension works alongside the Python extensions in VS Code to boost performance. It's powered by Microsoft's static type checking tool, Pyright.

"We've been making dramatic improvements to Python language support via the Pylance extension," says Ostrowski in a blogpost.

"As of this release, we've included the Pylance extension as an optional dependency for the core Python extension. This means that you'll get the latest and greatest language support right out of the box with the Python extension (no separate install needed!)," says Ostrowski.

Microsoft is recommending VS Code users to try the Pylance language server for a faster experience but notes that developers can configure the development environment to use other language servers, like open-source Jedi.

"We are committed to maintaining open-source language support options for our users in the future," she notes.

SEE: Programming languages: JavaScript has most developers but Rust is the fastest growing

VS Code users can uninstall or disable the Pylance extension at will and, once it's uninstalled, it won't re-install when the Python extension updates.

Microsoft also boasts that the Python extension it develops for VS Code now loads 10% faster for Windows and macOS systems, and 20% faster for Linux systems.

Ostrowski says the Python extension now has better debugging, building on its existing support for the web-focussed Django and Flask frameworks for Python.

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The business benefits of using an open source cloud – IT-Online

Even before the pandemic led to increased remote work migration, many organisations were becoming increasingly reliant on cloud solutions to streamline systems and workflow.

By Danie Thom, hybrid cloud platform specialist at Red Hat

But as with any enterprise technology, implementing cloud solutions comes with questions about the best way for individual businesses to harness their benefits.

By now, were realising that using a single cloud vendor can lead to limitation, and that a flexible, multi-vendor strategy is better for innovation. Although using a variety of cloud environments gives businesses the ability to adapt to changing business requirements, it also requires integration.

Open source gives organisations an answer to this: it offers unmatched flexibility while also cutting the costs of software acquisition.

A lot of the cloud is already built on open source

Open source vs proprietary software conversations may lead one to believe that open source is the exception rather than the rule, but Linux, the open source operating system that revolutionised data centre operations, enables almost all of the major public clouds being used today.

It continues to power new cloud-native technologies. Kubernetes, an open source container-orchestration platform, has also become the industry standard for managing cloud-native workloads. It automates the deployment, scaling, and management of application containers and allows you to move workloads effortlessly between on-premise, private, or public cloud infrastructure.

Its clear that open source cloud shouldnt be treated as some kind of strange new tech, but what exactly are the business benefits of using an open source cloud in a hybrid environment?

Agility in a hybrid cloud environment

The public cloud is the best way for organisations to access IT resources that can easily be increased or decreased as needed, offering flexibility, scalability and cost-savings (if used correctly). Internal private clouds, with their on-premise servers, give companies some of the benefits of the cloud with added security and without having to sacrifice control of their environment.

To take advantage of the best of both the public and private cloud, many businesses implement hybrid cloud environments.

Historically, organisations have managed their public and private clouds separately, but an open source hybrid cloud approach allows them to integrate these different environments into a single, comprehensive platform. This means on-premise services can have the same agility, functionalities and seamless experiences of a versatile public cloud.

If businesses want the same flexibility from their on-premise data centres that they experience with the public cloud, they can no longer manage them in traditional and siloed ways. You must be prepared to adapt your technology, people, and processes to gain any advantage.

When computing demands fluctuate, businesses should be able to divert their workloads in a way that is both optimal for performance and for usage costs. Open source technology and methodologies enable this, and they mean that a business is less likely to be constrained by the functionalities of its cloud solution.

Compared to proprietary solutions that are rarely cross-compatible, open source cloud infrastructure is also designed for interoperability, allowing different apps, servers or containers to work in harmony on different public cloud providers platforms. You could even duplicate your infrastructure from one cloud to another without a significant amount of modification, meaning less time wasted and increased productivity.

With the convergence of virtualisation (running multiple virtual machines on a single server) and containerisation (ways of running multiple applications on a single virtual machine) helping businesses run more by using fewer resources, open source hybrid cloud approaches become even more beneficial.

An open source hybrid cloud platform allows you to containerise apps into their individual functions and develop and manage them all in one place regardless of what platform they come from. Theres no need to worry about the underlying tech; open source gives you a portable, stable, and secure way of running your applications. Developers also become more productive and operations more efficient.

Freedom of choice

Proprietary cloud solutions create vendor lock-in, often limiting businesses to standardised solutions that can result in walled software gardens and dependency on one providers suite of products or services. This limits a business options when they need added functionality, platform integration or simply want to change cloud providers.

With an open source cloud, youre never tied to functionalities or one particular platform, instead giving you the ability to choose from whichever cloud services best suit your needs.

Businesses that use open source cloud services can also integrate them into one cohesive ecosystem and customise them to their specific needs. This allows them to use a vast ecosystem of technology and services creating a digital platform that fits their unique requirements, with secure, automated application runtimes.

Rich integration, business process automation, and automatic decisioning can be used to create immersive customer engagement anywhere.

An open ecosystem

We shouldnt be thinking about the cloud as the location of workloads and resources, but rather how we run them. The key to unlocking the power of the cloud is to treat it like an ecosystem, fostering interconnectedness, openness, and standardisation across cloud architectures.

An open source cloud strategy is made for this as it increases code quality, flexibility and the availability of features, improves visibility over every layer of infrastructure, and gives businesses the ability to move between platforms.

Because of its interoperability, going the open source route also doesnt have to mean businesses need to move away from their existing proprietary cloud architecture. Rather, it allows them to gain independence and create custom solutions where they most need them.

With collaboration and openness being the future of software and the future of cloud, if businesses want to remain both integrated and innovative, an open source cloud strategy is essential.

Related

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Samsung is increasing its semiconductor chip investment to $151 billion – SamMobile

Samsung is among the worlds leading semiconductor chip brands, and it had announced in 2019 that it will invest more than $115 billion by 2030 into its logic chip businesses. Now, the South Korean tech giant has announced that it is raising the investment target to a whopping $151 billion. This development comes amid the worst global chip shortage in decades.

The company announced earlier today that it has decided to invest an additional KRW 38 trillion (around $33.5 billion) into its logic chip businesses, increasing its target to KRW 171 trillion (around $151). This capital will be used in the development of advanced technologies and the expansion of its chip production capacity. The company has two logic chip businesses: Samsung Foundry (designs logic chips) and System LSI (contract manufactures chips for other brands). Samsung is investing in System LSI to accelerate its growth in new-age technologies like 5G, AI, and autonomous driving.

It also announced that it has started the construction of a new chip plant called P3 inPyeongtaek, South Korea. The new plant will start the mass production of 14nm DRAM chips and 5nm EUV-based processors by the second half of 2022. It is being reported that the P3 plant will open six months ahead of the original schedule, which means that the company will be flexible in terms of what it will fabricate at the facility.

Dr. Kinam Kim, Vice Chairman and Head of Device Solutions Division at Samsung Electronics, said, The entire semiconductor industry is facing a watershed moment and now is the time to chart out a plan for long-term strategy and investment. For the memory business, where Samsung has maintained its undisputed leadership position, the Company will continue to make preemptive investments to lead the industry.

Samsung is the worlds largest memory chip maker by revenue and market share, and it often launches the industrys best and newest technologies. A few days ago, it unveiled the industrys first CXL-based DRAM units that will be used in AI and cloud servers by various brands. However, in the foundry segment, it is the second-biggest brand after TSMC. TSMC usually beats Samsung in launching more advanced chip fabrication processes and the South Korean firms target is to defeat TSMC by the end of 2030.

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Ad Servers for Advertisers Market to Witness a Pronounce Growth During 2026 – News By ReportsGO

Ad Servers for Advertisers Market to Witness a Pronounce Growth During 2026

The research report on Ad Servers for Advertisers market encompasses a detailed evaluation of the past and present business scenario to offer a conclusive overview of the industry performance over 2021-2026. It sheds light on the sizes and shares the markets and sub-markets, highlighting the key driving forces, challenges, and lucrative prospects governing the industry dynamics.

According to experts, Ad Servers for Advertisers market size is projected to record notable growth over the forecast period, registering XX% CAGR throughout.

The research literature further offers crucial information on the competitive arena, emphasizing on the strategies adopted by key players that proved to be successful, to aid businesses ensure an upward growth trajectory in the forthcoming years. Besides, the study attempts to answer all the queries of clients pertaining to business implications of Covid-19 pandemic.

Request Sample Copy of this Report @ https://www.reportsgo.com/request-sample/68203

Market snapshot:

Regional outlook:

Product landscape outline:

Application spectrum summary:

Competitive arena overview:

Key Questions Answered in the Market Report:

Table of Contents:

1 Scope of the Report

1.1 Market Introduction

1.2 Years Considered

1.3 Research Objectives

2. Executive Summary

3. Global Ad Servers for Advertisers market by Company

4. Ad Servers for Advertisers market by Region

5. Market Drivers, Challenges and Trends

6. Marketing, Distributors and Customer

7. Global Ad Servers for Advertisers Market Size Forecast

8. Ad Servers for Advertisers Market Key Players Analysis

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Enhanced Role for Startup, Entrepreneurs with IT Infrastructure for Secured National Reincarnations – thepolicytimes.com

The term startup is talk of the town nowadays, and it is the most popular topic! Many people define the startup as the tech business and with less than 100 employees. Many people want to become entrepreneurs and open their own businesses. Much needed thing is to explain all about startups to clarify the concept of startups for young and enthusiastic entrepreneurs in the making.

Start ups play a key role in supporting the growth and development of a countrys economy as well as in improving the quality of life for citizens.Economic development preserves and raises the communitys standard of living through a process of human and physical infrastructure developmentFoster cooperative international tie up and technological support through Start up programmes of bilateral and multilateralinterest.Make cities and human settlements inclusive, safe, resilient, and sustainable.

In accordance with the Countries Global Ranking of Startup Ecosystem 2020 by global innovation mapping and research company StartupBlink, India ranked at 23rd position, a drop of 6 places from 17th position in 2019. The ranking has been topped by the United States (US), followed by the United Kingdom (UK), and Israel at 2nd & 3rd position. It should be noted that India is home to the third largest startup ecosystem.

Among the top 100 startup cities, only four India cities were named in 2020 Cities Global Ranking of Startup Ecosystem while total of 38 cities made it to the worlds top 1000 cities with startup ecosystem.

7.1% of the startups in the world operate in the Fintech industry. Followed by Life sciences and healthcare with 6.8%, Artificial intelligence with 5.0%, Gaming 4.7%, Adtech 3.3%, and Edtech with 2.8%. Even though there isnt completely accurate data about industry distribution, its clear that modern startups gravitate towards the internet and digital technologies. With this information we can also see which industry is best for startups now.

The United States is the leading country by the number of startups (63,703) by a long shot. The second on the list is India, with just 8,301 startups, and the third spot is occupied by the UK, with 5,377 startups.

To put things into perspective, the US has almost three times more startups than the rest of the following 9 countries in the world combined.There are currently more than 600 Unicorn companies around the world. However, most of them are in China or the United States.Unicorn companies are startups that are valued at $1 billion or more. Most unicorn companies today are involved in the global sharing economy, where they can make quick gains.

Second place is held firmly by China, with 25% of all unicorn companies in the world. Third and fourth places are constantly being traded by India and the United Kingdom, with about 5% of unicorns or around 20 companies each.

The value of e-commerce sales globally is around $3.5 trillion, with rapid growth expected in the future.That is why e-commerce is one of the most popular industries for new startups. The next industry in line is Fintech Financial technology.

Online financial services have been booming since the introduction of PSD2.Another big focus of new startups is cybersecurity. These companies understand how important online security will be in the future. FoodTech combines food and technology, specifically the internet, to deliver products to customers another popular industry for startups.With over US$16 billion of investments in 2018, EdTech is becoming another popular startup industry that provides educational technology solutions to people worldwide.

95% of entrepreneurs that create startups have at least a bachelors degree.Many people say that education is not important. They point to Mark Zuckerberg and Elon Musk as examples. However, most of the people involved in some of the worlds most successful startups have a higher education.

Look at the honest statistics below about how many startup businesses fail, this information will give you an idea of what percentage of startups are successful:

The primary reason for these numbers is a lack of ability to offer a product for a target market. Many companies arent able to generate interest in their products or services. Some companies also struggle with marketing. They donot have the finances to do it right and present what they have to offer to the right segment of the public.

Another reason for startup failure is poor team organization. Companies are unable to develop a group of people that will work together effectively towards the same goals.

19% of startup leaders agree that competition is the greatest challenge when starting a business.

The second biggest challenge is cash flow (12%), taxes (11%), economy (11%), and growth is last with 10%. Other startups face a variety of other challenges.

The startup industry will continue to be the driving factor for global innovation and business growth for many years. However, companies need to learn how to adjust to trends while being sustainable and efficient so that more startups can survive long term.

Entrepreneurs are rightly known as national assets and individuals who are motivated to a great degree. These are the people responsible for changing the way of life of the people in a country. They arent only adding to their own account with a successful venture, rather they create wealth in the society with these ventures. For the jobless, these entrepreneurial ventures are boon due to the immense job opportunities that come in the market. More jobs are always reflective of a well-balanced society and one that is geared for progress. If the production function model is to be taken into account then entrepreneurial capital is truly of great importance to the entire nation. In India, innovation has taken leaps and bounds of growth in the fields of IT, Education, Health care, etc. due to the numerous start-ups in these domains. If you take a closer look, innovativeness has achieved more growth due to the reign of entrepreneurship. There are numerous competitors in the same domain and hence the need for something new and added quality is always rife to gain more market space and popularity. Here are some of the major impacts that entrepreneurs have on the Indian economy.

It is rightly said that people are of utmost importance in everything you do. If you have got the right people, business models and product will surely find a way into the market. There are numerous youth and fearless entrepreneurs in India that have taken huge strides to bring about a positive change in the economy of the country. On a deeper insight, entrepreneurship is the driving force in the market. However, there are people who have the idea that entrepreneurship is all about the struggle of a man to start a project or business on his/her own, it isnot true. The struggle is far behind and the focus should be on the growth it offers to the country.

Right from gathering workforce, funding, resources and creating an organisational structure, these are the things that encompass the idea of entrepreneurship. What remains a question is how the practice benefits the Indian Economy.

Promoting capital formation: The idle savings of the people are mobilised by the entrepreneurs by providing them with new opportunities. Resources are employed so that people can set up their own enterprises. With these kinds of entrepreneurial activities, value addition the wealth of the nation is assured. Such creation of wealth adds to the industrial and economic growth of the nation. More capital formation means that a noticeable increase in the overall production of the nation.

Job creation: If success is to be achieved in entrepreneurial ventures, then it is to be understood that the work will need more than two hands. Varying skills sets are needed for a project to become successful, and this is where a new scope for jobs opens to the people. Thriving business setups makes sure that the job queues are cut to half in a particular geographical area. Given the fact that unemployment at a large scale in an unending problem prevailing in the country, skilled and technically qualified people are sure to land a job with these opportunities.

Regional development: India vs. Bharat is a debate that has been prevalent for a long period of time and truly the difference in the growth of rural and urban areas is immense in the nation. However, 73% of households are in the rural area and therefore there is a need for balanced regional development. Entrepreneurial ventures remove the disparities between rural and urban areas with the help of industrialisation. The benefits from these ventures lead to community development such as road, education, health, and entertainment. Dwelling habits in slums and congestions are reduced as they have job opportunity and can sustain a better living.

Decentralises economic power: Monopoly takes growth when the industrial set up is more prevalent in the nation and hence the economic power is only within the hands of selected few. Through entrepreneurship, economic power is distributed to subsequent contributors and hence the wealth is no longer decentralised. It makes society a lot more balanced and paves overall development.

Increases GDP and per capita income: Every entrepreneurial venture adds to the economy of the nation. Every innovation in the market is improving the quality of service and hence helping the market to be further advanced. Resource and skill mobilisation in an effective manner helps in developing prospects in the market as well as adding substantially to the economy of the nation. These help to let the gross national product along with per capita income in the place.

As new ideas and innovations keep coming in the market on a daily basis, variety in the market gets a major boost along with prices that are competitive in order to gather better space in the market. It enables people to avail them for leading a better life and without compromising on their budget. It helps boost the standard of living of the people and suddenly the nation becomes a better place to live for even with minimal finances.

Export trade boost: The export trade gets a huge boost since entrepreneurs produce goods in large quantities and there is enough to be exported to foreign countries. Foreign exchange amount is enhanced with this and thus greater economic independence is achieved. All these only points towards a single point agenda of national development and financial growth.

Backward and forward linkages: The essential target of every entrepreneur is to maximise capital flow with the help of rapid innovations which they come up with. Backward and forward linkages are influenced by these practices and hence better economic growth is achieved. Such linkage theory reflects the fact that meaningful investments are being done in the country and there is a plan behind every step taken financially.

It is a fact that competition in the market is sure to come when there are entrepreneurs vying for the attention of the same consumer base in a market. Several producers in the same domain will make sure that each of them will be in search of better facilities which they can provide to their customers. Also, there will be a price war in the market and the one with the best quality will sustain for the longest period of time. It benefits the customer as they can now afford the services without burning a hole in their pockets.

Social change beyond imagination: Entrepreneurs are all about breaking the traditional idea of freedom and further expanding it because the sky is the limit now. The dependency on the lower level of technology and outdated systems are a thing of past as they can be easily replaced with local producers or through imports. The underdeveloped countries are getting access to high end technology to get the work done and as a result they are coming up with new goods and ideas. It is economically viable to them because the cost of living is low for people based in underdeveloped countries. The economic freedom they get along with the wide array of choice make it the best-suited system of production in any given economic set up.

On the other hand, there are always grimmest to any positive aspect. As flawless the system may look on the outset, it is difficult to master unless you are a crafter agent in the domain. Proper education and sense of the market must be imbibed in a person before they are ready to wave off their entrepreneurial venture. If they fail, then it is a massive financial loss for the person and the employed people will find it hard to get their salaries. Additionally, the resource base of the country is stressed with such initiatives. Over exploitation of natural resources are always a threat and it can lead to serious consequences later.

IT infrastructure refers to the composite hardware, software, network resources and services required for the existence, operation and management of an enterprise IT environment.

IT infrastructure allows an organization to deliver IT solutions and services to its employees, partners and/or customers and is usually internal to an organization and deployed within owned facilities.

Developers rely on platforms throughout the IT software development process to connect data, process it, increase their go-to-market velocity, and stay ahead of the competition with new and existing products. They have enormous amounts of end-user data on hand, and productivity infrastructure can remove barriers to access, integrate and leverage this data to automate the workflow.

Access to rich interaction data combined with pre-trained ML models, automated workflows and configurable front-end components enables developers to drastically shorten development cycles. Through enhanced data protection and compliance, productivity infrastructure safeguards critical data and mitigates risk while reducing time to ROI.

IT infrastructure consists of all components that somehow play a role in overall IT and IT-enabled operations. It can be used for internal business operations or developing customer IT or business solutions.

Typically, a standard IT infrastructure consists of the following components:

Hardware: This is the physical part of an IT infrastructure and comprises all the elements necessary to support the basic functioning of the machines and devices constituting the infrastructure itself.Servers, computers, storage and data centers, switches, hubs and routers, as well as all other equipment such as the power, cooling, cabling and dedicated rooms.

Software: It refers to all the applications used by the enterprise both for internal purposes and to provide its services to customers. Software includes web servers, Enterprise resource planning (ERP), customer relationship management (CRM), productivity applications and the operating system (OS).

The OS is the most important software component and is responsible for managing the hardware itself and connect the physical resources to the network infrastructure.

Network: Although is not strictly necessary for an IT infrastructure to function, the network is essential to establish internal and external communication of all elements and devices.

The network part includes all the hardware and software elements necessary to ensure network enablement, internet connectivity, firewall and security. It ensures that personnel get access to stored and transferred data only from strictly controlled access points to reduce the risk of data theft or damage.

Meatware: Since they contribute to constituting the enterprise environment and guarantee its functions, associated personnel and processes such as ITOps or DevOps are also part of an IT infrastructure.

Human users, such as network administrators (NA), developers, designers and end users with access to any IT appliance or service are also part of an IT infrastructure, specifically with the advent of user-centric IT service development.

Traditional Vs. Cloud Infrastructures: All the components mentioned above that constitute a traditional infrastructure are usually owned by the enterprise itself and managed within their own facilities.

The larger the IT infrastructure, the more space, power, personnel, and money will be needed to run it. Today, part of this infrastructure can be virtualized and rented from third-party services to cut the costs.

Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) are all relatively new options that allow businesses to rent software, infrastructure, services and human resources from external vendors who will deliver them using the internet. All the components rented are hosted and managed in cloud servers that employ their own IT infrastructures.

Since all these resources are built on virtualization technology, they can easily be scaled up or down as the needs of the business employing them changes.Set of physical devices and software required to operate enterpriseIT infrastructure Components:

Technology has impacted and improved the way companies conduct their business, including communication, productivity, and speed in making business decisions. Which is why the importance of managed IT infrastructure cannot be underplayed.

IT infrastructure consists of all elements that support the management and usability of data and information. These include physical hardware and facilities, data storage and retrieval, network systems, legacy interfaces and software to support the business goals of the organization. The structure also includes hiring, training, policy, testing, process, upgrades and repairs.

Infrastructure management is the process of managing the components of a companys information technology. Having appropriate methods in place for the management of the IT infrastructure allows for improved performance, improved availability and quick solutions for various issues that could arise.

A managed IT infrastructure is important because it provides structure and control for diverse technical operations which involve hardware, software and networking in both the physical and virtual environment. IT infrastructure management is also responsible for

The benefits of IT structure management all stem from the ease of operation, clarity of information and reporting and cost saving. Behavior that supports this outcome includes

While new technologies present powerful opportunities for organizations, they also introduce challenges. The pace of change in IT is unprecedented. The mobile devices and cloud-based technologies that have brought in so many possibilities have also introduced several devices, platforms and apps for IT departments to manage and secure. These challenges add up to significant expenses such as cost of hiring and training qualified workers, purchasing the infrastructure to support and so on. Rather than struggle to keep pace with technology themselves, organizations hire service providers for help. The third-party service providers help with cloud deployments, data center solutions, mobile initiatives, collaboration tools and security. They offer a holistic approach resulting in higher standards as compared to organizations that handle it in-house. Turning to a trusted partner offers several advantages including:

If a company does not have a team dedicated to managing its IT infrastructure, it will be impossible to predict or manage disasters as they come along. This reactive approach can lead to lengthy downtimes and major data loss. Therefore, being proactive will save a lot of money for the company during disasters and in their aftermath and provide for budget for such emergencies.

Outsourcing functions such as cybersecurity and app development to a partner with technically skilled and specialized engineers in new and emerging technologies alleviates the pressure from the company.

If data is deleted, lost, corrupted, or compromised, it can be restored with the help of backups that have incorporated as part of the IT infrastructure. A careful and efficiently managed backup process reduces downtime, maintains productivity andcontinues to provide outstanding customer satisfaction.

IT organizations spend months deploying large systems. Outsourcing the management of the IT infrastructure helps an organization to scale up or scale down depending on the demand.

There are no more standard/fixed work hours any longer and it only makes sense to have a support system that is working constantly to support users. This can be supported by the service provider in an organized manner.

In addition to regular audits, organizations are also obligated to meet standards and requirements in accordance with the laws of the state. Laws could pertain to safety, reporting and security. All this can be handled by the service provider without adding the burden on the in-house staff.

Improving the infrastructure helps to improve agility, reduce time, effort and cost to manage the IT infrastructure internally. Simplifying equipment and processes will help to better identify weaknesses and necessary improvements in the infrastructure. There are a few important practices that simplify the management of IT infrastructure of an organization and improve its efficiency.

The concept of IT HUB is derived in tune from Secured Governance through a revolution that requires upturning all the procedures evolved through years of efforts and experience. It realizes the tools for bringing about effective and sustainable changes in the system. The methodology has been evolved through hands on experience in dealing with the industry and governmental system. When identifying and determining development potential within an economy a set of criteria is required against which to evaluate whether the effort being undertaken possesses development potential or not. The set of criteria serves as an evaluation tool to identify areas with potential for development and opportunities within each of the local economic sectors.

The IT HUB will provide innumerable benefits in the following way:

Today we find the valuation due to infrastructure growth is not optimally channelized towards infrastructure development and results in inequalities in society. Secured Governance compliments the present PPP (Public Private Participation) developmental model, by ensuring balanced participation of the private and public sector taking advantage of value and valuation of IT HUB thereby yielding higher returns. This valuation of infrastructure, which grows many folds, needs to be shared by society and by the Government to support infrastructure development, ensuring balanced growth.

Secured Governance for Information Technology will provide for high quality commercial development along IT HUB, which serve as Techno Economic HUB. These HUBs will be part of existing or new development project. These HUBs will not only facilitate telecom users but also promotes commercial units generating employment and revenue from the defined region. The HUBs aid to boost employment generation and sustainable investment opportunity in a big way. It is expected to attract billion crore rupees over the next five years and generating millions of direct and indirect employment opportunities in region. With the robust outlook of the IT sector, it is expected that India will see private and foreign participation in the development and financing of IT HUB infrastructure, engineering services, equipment supply and technology partnership in digital communication.

By,Dr P. Sekhar,Chairman,Unleashing India,Global Smart City Panel,MTGF

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Enhanced Role for Startup, Entrepreneurs with IT Infrastructure for Secured National Reincarnations

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In accordance with the Countries Global Ranking of Startup Ecosystem 2020 by global innovation mapping and research company StartupBlink, India ranked at 23rd position, a drop of 6 places from 17th position in 2019.

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TPT News Bureau

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THE POLICY TIMES

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Of All Things: Artificial intelligence is real | News | montgomerynews.com – Montgomery Newspapers

There seem to be a lot of articles about artificial intelligence in newspapers and magazines these days. Some of the other stuff in print makes me think that what we need is more regular intelligence,

Last week, the legislative branch of the 27-country European Union headquartered in Brussels announced plans to restrict the use of artificial intelligence. Its an attempt to head off abuse of artificial intelligence technology, instead of waiting for it to be a problem the way the United States does.

Artificial intelligencesimulates humanintelligencein computers that are programmed to think and act like human beings. (Hey, what could go wrong?)

Originally,artificial intelligence meant a machine doing something that would have previously needed human intelligence.From what Im reading these days, I worry that the artificial intelligence may be more intelligent than the human kind.

All of the major computer companies seem to offervirtual personal assistants (Microsoft Cortana, Apple Siri, Amazon Alexa and Google Assistant, for instance.)

Alexa, for another instance, can handle your e-mail, your shopping list, the radio and television, cooking, a wake-up call, communication with friends and family, and generally canrun your life.

Its hard to believe (at least for an old guy like me) to read about some of the things artificial intelligence can do.

For instance, some artificial intelligence systems can allow you todeposit checks in the bank from your living room, and, if necessary, some can decipher the handwriting on the check.

Artificial intelligence can also detect fraudulent use of a credit card by observing the users normal credit card spending patterns.

Youre likely to run into that sort of electronic voodoo any time in these ever-increasing days of artificial intelligence.

The intelligence algorithms can detect and remove hate speech, faster than a human censor can. They are able to identify key words and phrases.

Google maps, Im told, not only tell you how to drive to a destination, but, thanks to an artificial intelligence algorithm, tell you what time youll get there, based on traffic conditions.

The Google app algorithm remembers the edges of buildings that have been fed into the system after the owner has manually identified them.

Another feature is the electronic (or possibly voodoo again) recognizing and understanding of handwritten house numbers.(On paper, I presume, not on the houses.)

The scary thing about the foregoing is that the people who devise, and write about, all this new technology claim that the field of artificial intelligence is still in its infancy. More programs are still to come, they tell us, that will much more accurately replicate human capabilities.

I wonder how long it will be before the computers tell us to just go home and take a nap, and theyll take care of everything.

Next thing you know, dear reader, weekly columns like this may be turned out by artificial intelligence, instead of the good old fashioned writers like me. Please dont tell me that you wont know the difference.

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Artificial Intelligence and Machine Learning Drive the Future of Supply Chain Logistics – Supply and Demand Chain Executive

Artificial intelligence (AI) is more accessible than ever and is increasingly used to improve business operations and outcomes, not only in transportation and logistics management, but also in diverse fields like finance, healthcare, retail and others. An Oxford Economics and NTT DATA survey of 1,000 business leaders conducted in early 2020 reveals that 96% of companies were at least researching AI solutions, and over 70% had either fully implemented or at least piloted the technology.

Nearly half of survey respondents said failure to implement AI would cause them to lose customers, with 44% reporting their companys bottom line would suffer without it.

Simply put, AI enables companies to parse vast quantities of business data to make well-informed and critical business decisions fast. And, the transportation management industry specifically is using this intelligence and its companion technology, machine learning (ML), to gain greater process efficiency and performance visibility driving impactful changes bolstering the bottom line.

McKinsey research reveals that 61% of executives report decreased costs and 53% report increased revenues as a direct result of introducing AI into their supply chains. For supply chains, lower inventory-carrying costs, inventory reductions and lower transportation and labor costs are some of the biggest areas for savings captured by high volume shippers. Further, AI boost supply chain management revenue in sales, forecasting, spend analytics and logistics network optimization.

For the trucking industry and other freight carriers, AI is being effectively applied to transportation management practices to help reduce the amount of unprofitable empty miles or deadhead trips a carrier makes returning to domicile with an empty trailer after delivering a load. AI also identifies other hidden patterns in historical transportation data to determine the optimal mode selection for freight, most efficient labor resource planning, truck loading and stop sequences, rate rationalization and other process improvement by applying historical usage data to derive better planning and execution outcomes.

The ML portion of this emerging technology helps organizations optimize routing and even plan for weather-driven disruptions. Through pattern recognition, for instance, ML helps transportation management professionals understand how weather patterns affected the time it took to carry loads in the past, then considers current data sets to make predictive recommendations.

The Coronavirus disease (COVID-19) put a tremendous amount of pressure on many industries the transportation industry included but it also presented a silver lining -- the opportunity for change. Since organizations are increasingly pressed to work smarter to fulfill customers expectations and needs, there is increased appetite to retire inefficient legacy tools and invest in new processes and tech tools to work more efficiently.

Applying AI and ML to pandemic-posed challenges can be the critical difference between accelerating or slowing growth for transportation management professionals. When applied correctly, these technologies improve logistics visibility, offer data-driven planning insights and help successfully increase process automation.

Like many emerging technologies promising transformation, AI and ML have, in many cases, been misrepresented or worse, overhyped as panaceas for vexing industry challenges. Transportation logistics organizations should be prudent and perform due diligence when considering when and how to introduce AI and ML to their operations. Panicked hiring of data scientists to implement expensive, complicated tools and overengineered processes can be a costly boondoggle and can sour the perception of the viability of these truly powerful and useful tech tools. Instead, organizations should invest time in learning more about the technology and how it is already driving value for successful adopters in the transportation logistics industry. What are some steps a logistics operation should take as they embark on an AI/ML initiative?

Remember that the quality of your data will drive how fast or slow your AI journey will go. The lifeblood of an effective AI program (or any big data project) is proper data hygiene and management. Unfortunately, compiling, organizing and accessing this data is a major barrier for many. According to a survey conducted by OReilly, 70% of respondents report that poorly labeled data and unlabeled data are a significant challenge. Other common data quality issues respondents cited include poor data quality from third-party sources (~42%), disorganized data stores and lack of metadata (~50%) and unstructured, difficult-to-organize data (~44%).

Historically slow-to-adopt technology, the transportation industry has recently begun realizing the imperative and making up ground with 60% of an MHI and Deloitte poll respondents expecting to embrace AI in the next five years. Gartner predicts that by the end of 2024, 75% of organizations will move from piloting to operationalizing AI, driving a five times increase in streaming data and analytics infrastructures.

For many transportation management companies, accessing, cleansing and integrating the right data to maximize AI will be the first step. AI requires large volumes of detailed data and varied data sources to effectively identify models and develop learned behavior.

Before jumping on the AI bandwagon too quickly, companies should assess the quality of their data and current tech stacks to determine what intelligence capabilities are already embedded.

And, when it comes to investing in newer technologies to pave the path toward digital transformation, choose AI-driven solutions that do not require you to become a data scientist.

If youre unsure how to start, consider partnering with a transportation management system (TMS) partner with a record of experience and expertise in applying AI to transportation logistics operations.

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Artificial intelligence taking over DevOps functions, survey confirms – ZDNet

The pace of software releases has only accelerated, and DevOps is the reason things have sped up. Now, artificial intelligence and machine learning are also starting to play a role in this acceleration of code releases.

That's the word from GitLab's latest surveyof 4,300 developers and managers, which finds some enterprises are releasing code ten times faster than in previous surveys. Almost all respondents, 84%, say they're releasing code faster than before, and 57% said code is being released twice as fast, from 35% a year ago. Close to one in five, 19%, say their code goes out the door ten times faster.

Tellingly, 75% are using AI/ML or bots to test and review their code before release, up from 41% just one year ago. Another 25% say they now have full test automation, up from 13%.

About 21% of survey respondents say the pace of releases has accelerated with the addition of source code management to their DevOps practice (up from 15% last year), the survey's authors add. Another 18% added CI and 13% added CD. Nearly 12% say adding a DevOps platform has sped up the process, while just over 10% have added automated testing.

Developers' roles are shifting toward the operations side as well, the survey shows. Developers are taking on test and ops tasks, especially around cloud, infrastructure and security. At least 38% of developers said they now define or create the infrastructure their app runs on. About 13% monitor and respond to that infrastructure. At least 26% of developers said they instrument the code they've written for production monitoring -- up from just 18% last year.

Fully 43% of our survey respondents have been doing DevOps for between three and five years -- "that's the sweet spot where they've known success and are well-seasoned," the survey's authors point out. In addition, they add, "this was also the year where practitioners skipped incremental improvements and reached for the big guns: SCM, CI/CD, test automation, and a DevOps platform."

Industry leaders concur that DevOps has significantly boosted enterprise software delivery to new levels, but caution that it still tends to be seen as an IT activity, versus a broader enterprise initiative. "Just like any agile framework, DevOps requires buy-in," says Emma Gautrey, manager of development operations at Aptum. "If the development and operational teams are getting along working in harmony that is terrific, but it cannot amount to much if the culture stops at the metaphorical IT basement door. Without the backing of the whole of the business, continuous improvement will be confined to the internal workings of a single group."

DevOps is a commitment to quick development/deployment cycles, "enhanced by, among other things, an enhanced technical toolset -- source code management, CI/CD, orchestration," says Matthew Tiani, executive vice president at iTech AG. But it takes more than toolsets, he adds. Successful DevOps also incorporates "a compatible development methodology such as agile and scrum, and an organization commitment to foster and encourage collaboration between development and operational staff."

Then organizations aspects of DevOps tend to be more difficult, Tiani adds. "Wider adoption of DevOps within the IT services space is common because the IT process improvement goal is more intimately tied to the overall organizational goals. Larger, more established companies may find it hard to implement policies and procedures where a complex organizational structure impedes or even discourages collaboration. In order to effectively implement a DevOps program, an organization must be willing to make the financial and human investments necessary for maintaining a quick-release schedule."

What's missing from many current DevOps efforts is "the understanding and shared ownership of committing to DevOps," says Gautrey. "Speaking to the wider community, there is often a sense that the tools are the key, and that once in place a state of enlightenment is achieved. That sentiment is little different from the early days of the internet, where people would create their website once and think 'that's it, I have web presence.'"

That's where the organization as a whole needs to be engaged, and this comes to fruition "with build pipelines that turn red the moment an automated test fails, and behavioral-driven development clearly demonstrating the intentions of the software," says Gautrey. "With DevOps, there is a danger in losing interaction with individuals over the pursuit of tools and processes. Nothing is more tempting than to apply a blanket ruling over situations because it makes the automation processes consistent and therefore easier to manage. Responding to change means more than how quickly you can change 10 servers at once. Customer collaboration is key."

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