Category Archives: Cloud Computing
Elon Musk releases new AI chatbot ‘Grok’ in bid to take on ChatGPT – Financial Times
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Elon Musk releases new AI chatbot 'Grok' in bid to take on ChatGPT - Financial Times
Cloud computing in the Middle East | Strategy& – Strategy
The Middle East is quickly catching up to other markets in terms of cloud computing adoption. Government investments and the increasing presence of public cloud1 providers are making cloud solutions more accessible. These developments are providing organizations in the public and private sectors with a faster route to capturing value from the technology. PwC and Strategy& recently surveyed companies in the region to gauge the level of cloud impactthe first such publicly available research in the region (see About the survey). This publication summarizes our analysis and provides vital insights for cloud computing customers and Cloud professional and managed services providers (Cloud PMSPs).
Specifically, our analysis indicates that cloud adoption has passed the initial adoption phase and is poised for accelerated growth. Jointly, PwC and Strategy& Middle East identify how leading companies are capturing the benefits of cloud technology, and then present key considerations forCloud PMSPs in the Middle East.
Download the report
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Cloud computing in the Middle East | Strategy& - Strategy
Cloud computing is operated by an anti-competitive oligopoly, says … – Blockworks
The cloud.
Its a fabric that connects people in ways that were impossible just a few years ago and we all pay for it.
All of us pay a cloud tax, Greg Osuri says. We just dont realize it. According to Osuri, 50% of online subscription fees, for example, end up in the pockets of cloud providers.
On the 0xResearch podcast (Spotify/Apple), the founder and CEO of Overclock Labs and core contributor to Akash says that the cloud keeps a modern society together.
Cloud technology brings incredible value by enabling amazing services for us and storing our data but users have little to no control over this invisible layer of society, he says.
Osuri explains that this lack of individual control results in uncontrollable costs, selective innovation, sometimes extremely anti-competitive practices and essentially, an oligopoly that persists behind the scenes.
Thats the current state of the cloud an extremely important layer that is extremely opaque.
The goal of Akash, a decentralized computing network built on Cosmos, is to reverse that opacity, Osuri says. It seeks to create an open, transparent, permissionless layer [so] that all of us have a degree of ownership and a degree of sovereignty.
Akash acts as a marketplace that matches users with providers who might otherwise be sitting on idle computing power. Osuri explains that, at its core, it is a super cloud, that aggregates computing resources across a range of public and private providers and offers a federated access point.
Users get access to providers by leasing services in an open setting, he says, typically using a reverse auction mechanism. You specify your needs and you specify what youre willing to pay and providers bid on it.
One key advantage of Akash, Osuri points out, is that you have a degree of concentration of computational power where [it] has been traditionally hyper-fragmented.
As of now, Akash is experiencing near 100% utilization for high density GPUs, Osuri says, and about 50% utilization cumulative for all resources, all types of GPUs, including the low end GPUs.
Thats quite a bit higher utilization than pretty much anything else out there in crypto, Osuri says. Traditionally, crypto has been good at oversupply and less demand. Here, we have the opposite problem: high demand and less supply, or supply thats not yet on the market.
Most demand for computing power right now is for high-end H100 chips and data center grade homogenous hardware, Osuri says equipment that powers AI apps like ChatGPT.
Every time you hit a prompt in ChatGPT, the time it takes to come back, it requires one H100 per concurrent user for that time, Osuri explains. Now, do the math. 100 million users. All of them at the same time.
Thats impossible, he says. They have to prioritize the H100 time based on how many concurrent users they want to support and that dictates how fast the application works.
More users, less chips means slower. More chips, less users means faster.
Osuri mentions one team that is working with a broader mix of chipsets for heterogeneous computing power. You can train on a 4090 and H100 at the same time, leveraging the compute power from each of those chips, he says.
There are lots of teams working on it, he says, adding that at some point in time in the near future, idle home gaming PCs and consoles might even be able to provide computing power to the marketplace.
As of now, Osuri says that most demand for the Akash service comes from machine learning developers looking for on-demand A100, H100 or A6000 chipsets.
There is no place right now on the cloud where you can get on-demand access to 100s, he says. Amazon, Google, Microsoft do not have A100s or H100s.
Read more: Dont give your life to Big Tech for free
Osuri reiterates that the Akash marketplace operates as a free market, with low demand resources costing around 80% less than they would via traditional services like AWS. On the flip side, high demand services like H100s are more expensive than what one would normally expect to pay.
We dont have any control over price, he says. It is a free market that sets the price.
Osuri explains that Overclock Labs might provide guidance regarding pricing, but we dont dictate what the price should be. And we never will. And thats critical for the protocol to function.
We need to learn how to deploy these models on a decentralized network versus a centralized network, he says. Its always been centralized because that was the only option.
For the first time, we actually have a viable decentralized option.
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Cloud computing is operated by an anti-competitive oligopoly, says ... - Blockworks
Healthcare Cloud Computing Market To Reach USD 168.8 Billion By 2032 – Yahoo Finance
DataHorizzon Research
Progressive medical care technology creates possibilities for the healthcare cloud computing market
Fort Collins, Colorado, Oct. 26, 2023 (GLOBE NEWSWIRE) -- According to DataHorizzon Research, theHealthcare Cloud Computing Market size was valued at USD 37.2 Billion in 2022 and is expected to reach USD 168.8 Billion by 2032 with a CAGR of 16.4%.
Cloud computing in healthcare involves remote servers for storing, managing, and processing healthcare data accessible through the Internet. It enhances accessibility for both providers and patients, leading to better patient health outcomes. Technological advancements like remote monitoring, telehealth, and electronic health records drive the market growth.
Cloud computing is increasingly being adopted in healthcare to streamline collaborative patient care. It allows healthcare providers to easily view and share a patient's record, eliminating the need for unnecessary testing and over-prescription. Storing electronic health records in cloud systems also enables easy data sharing with other providers and interactions with other physicians.
Value-based healthcare is driving market growth. This model pays hospitals and doctors based on patient health outcomes rather than service delivery costs. Cloud computing helps improve scalability, remote work, and patient engagement, essential for delivering effective care in value-based healthcare.
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Segmentation Overview:
The globalhealthcare cloud computing market has been segmented into product, deployment, service, end-user, and region. The healthcare provider solutions segment dominated the healthcare cloud computing market. Clinical information systems held a large market share due to healthcare providers' increased adoption of electronic health records, picture archiving and communication systems, and other telehealth solutions. These solutions improve patient care, increase participation, and improve patient outcomes. Providers' rising adoption of these solutions is because they decrease the time spent on chronic disease management and allow for dynamic tech-based communication, creating a continual flow of information.
Story continues
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Healthcare Cloud Computing Market Report Highlights:
Some prominent players in the healthcare cloud computing market report include Amazon Web Services, Inc., Microsoft Corporation, International Business Machines Corporation, Iron Mountain Inc., and Athenahealth. Inc., CareCloud, Inc., Siemens Healthineers, eClinicalWorks, GNAX Health, Koninklijke Philips N.V., and Allscripts Healthcare Solutions, Inc., among others.
Industry Trends and Insights:
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Healthcare Cloud Computing Market Segmentation:
By Region: North America, Latin America, Europe, Asia Pacific, the Middle East and Africa.
About DataHorizzon Research:
DataHorizzon is a market research and advisory company that assists organizations across the globe in formulating growth strategies for changing business dynamics. Its offerings include consulting services across enterprises and business insights to make actionable decisions. DHRs comprehensive research methodology for predicting long-term and sustainable trends in the market facilitates complex decisions for organizations.
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Healthcare Cloud Computing Market To Reach USD 168.8 Billion By 2032 - Yahoo Finance
Unveiling the Magic of Amazon Web Services (AWS): A Journey into … – Medium
In the dynamic realm of cloud computing, Amazon Web Services (AWS) emerges as an unparalleled transformative powerhouse, leading the charge in the world of cloud services. It operates under a pay-as-you-go model, providing an extensive repertoire of cloud services that cater to a diverse audience, be it businesses or individuals. What truly sets AWS apart is its empowerment of users to create, deploy, and manage applications and data securely, all at an impressive scale.
The marvel of AWSs inner workings lies in its intricate mechanisms, driven by a commitment to virtualization, a wide array of services, and an unwavering focus on security and reliability. Its a journey into the heart of how AWS functions, a world where innovation, adaptability, and scalability reign supreme. Lets embark on this exploration to uncover the mysteries of AWS and understand how it has revolutionized the way we approach technology and innovation.
At the core of AWSs functionality lies a profound concept: virtualization. Its a concept that forms the bedrock of cloud computing, an abstraction of physical hardware that is at the very heart of AWS. What AWS excels at is the art of virtualization, the process of abstracting and transforming the underlying hardware infrastructure into a versatile pool of virtual resources. These virtual resources encompass everything from servers to storage and networking. And the beauty of it all is that these resources are readily accessible, meticulously organized, and seamlessly managed through a user-friendly interface. This design allows users to harness the boundless power of the cloud without the complexities and hassles associated with managing physical hardware.
Amazon Web Services (AWS) isnt just a cloud platform; its a revolutionary force that has reshaped how businesses operate and innovate in the digital age. Known for its power, versatility, and comprehensive catalog of services, AWS is a go-to choice for organizations with diverse IT needs. If youre eager to gain a deeper understanding of AWS and harness its full potential, look no further than ACTE Technologies.
ACTE Technologies offers comprehensive AWS training programs meticulously designed to equip you with the knowledge, skills, and hands-on experience needed to master this dynamic cloud platform. With guidance from experts and practical application opportunities, you can become proficient in AWS and set the stage for a successful career in the ever-evolving field of cloud computing. ACTE Technologies is more than an educational institution; its your trusted partner on the journey to harness the true potential of AWS. Your future in cloud computing begins here.
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Unveiling the Magic of Amazon Web Services (AWS): A Journey into ... - Medium
Cloud computing market size to grow by USD 429.6 billion from 2022 to 2027, Increased use of containers to boost market growth – Technavio – Yahoo…
NEW YORK, Oct. 26, 2023 /PRNewswire/ -- The cloud computing market size is expected to grow by USD 429.6 billion from 2022 to 2027. The growth momentum of the market will accelerate at a CAGR of 17.32% during the forecast period. The increased use of containers will boost the adoption of the cloud, which will drive the cloud computing market growth. Containers and microservices are alternative solutions to virtual machines (VMs). Containers are lighter than VMs and can package applications and all OS dependencies in a single package. They provide a high level of visibility toward application performance. Moreover, container and microservice architectures allow rapid scaling. These factors will drive the market's growth during the forecast period.For more insights on the historic (2017 to 2021) and forecast market size (2023to 2027)Download our sample report!
Technavio has announced its latest market research report titled Global Cloud Computing Market
Key market challenges
Factors such as vendor lock-in and operational complexities will challenge market growth. Vendor lock-in occurs when a customer cannot transition easily to another vendor's product or service. This makes it difficult to switch to a public cloud service provider from a private cloud platform. Moreover, each vendor may support different languages, libraries, APIs, architecture, or OS. The process of switching can be time-consuming, labor-intensive, and expensive. It may even result in rebuilding or altering an application to fit the new platform. Thus, vendor lock-in can hinder the growth of the global private cloud services market during the forecast period.
Few companies mentioned with their offerings
Adobe Inc. - The company offers Creative Cloud service with apps, web services, and resources.
Alibaba Group Holding Ltd. -The company offers multi-model cloud-native databases and distributed cloud services.
Alphabet Inc. - The company offers a wide range of cloud computing services.
Amazon.com Inc. - The company offers a wide range of cloud computing services.
Cisco Systems Inc. -The company offers cloud-neutral solutions and full-stack observability with its cloud
To gain access to more vendor profiles with their key offerings available with Technavio, download a sample report.
Story continues
Market segmentation
The cloud computing market report is segmented by deployment (public cloud and private cloud), service (SaaS, IaaS, and PaaS), and geography (North America, APAC, Europe, South America, and Middle East and Africa).North Americawill be the leading region with 50% of the market's growth during the forecast period. The US and Canada are the key markets for cloud computing inNorth America.
For additional insights into the contribution of all the segments and regional opportunities, historic (2017 to 2021) and forecast market size (2023 to 2027) -Download our sample report
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What`s New for 2023?
Special coverage on the Russia-Ukraine war; global inflation; recovery analysis from COVID-19; supply chain disruptions, global trade tensions; and risk of recession
Global competitiveness and key competitor positions
Market presence across multiple geographical footprints - Strong/Active/Niche/Trivial
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The cloud storage services market size is expected to increase by USD 79.89 billion during 2021-2026, accelerating at a CAGR of 18.43%. Furthermore, this report extensively covers market segmentation by end-user (large enterprises and SMEs) and geography (North America, APAC, Europe, South America, and Middle East and Africa).
The cloud discovery market size is expected to increase by USD 1.27 billion from 2021 to 2026, and the market's growth momentum will accelerate at a CAGR of 16.26%. Furthermore, this report extensively covers cloud discovery market segmentation by component (solutions and services) and geography (North America, Europe, APAC, South America, and Middle East and Africa).
Cloud Computing Market Scope
Report Coverage
Details
Base year
2022
Historic period
2017-2021
Forecast period
2023-2027
Growth momentum & CAGR
Accelerate at a CAGR of 17.32%
Market growth 2023-2027
USD 429.6 billion
Market structure
Fragmented
YoY growth 2022-2023 (%)
12.0
Regional analysis
North America, APAC, Europe, South America, and Middle East and Africa
Performing market contribution
North America at 50%
Key countries
US, China, UK, Germany,Canada, Mexico, Italy,Spain, Japan, Australia, and South Korea
Competitive landscape
Leading vendors, market positioning of vendors, competitive strategies, and industry risks
Key companies profiled
Adobe Inc., Alibaba Group Holding Ltd., Alphabet Inc., Amazon.com Inc., Cisco Systems Inc., Citrix Systems Inc., Dell Technologies Inc., Hewlett Packard Enterprise Co., Huawei Technologies Co. Ltd., International Business Machines Corp., NetApp Inc., Nutanix Inc., Oracle Corp., Rackspace Technology Inc., Red Hat Inc., Salesforce.com Inc., Tata Consultancy Services Ltd., Microsoft Corp., SAP SE, and VMware Inc.
Market dynamics
Parent market analysis, market growth inducers and obstacles, fast-growing and slow-growing segment analysis, COVID-19 impact and recovery analysis and future consumer dynamics, and market condition analysis for the forecast period.
Customization purview
If our report has not included the data that you are looking for, you can reach out to our analysts and get segments customized.
Browse for Technavio information technology marketreports
Table of contents:
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Deployment
7 Market Segmentation by Service
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Trends
11 Vendor Landscape
12 Vendor Analysis
13 Appendix
About US
Technavio is a leading global technology research and advisory company. Their research and analysis focus on emerging market trends and provide actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.
With over 500 specialized analysts, Technavio's report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio's comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.
ContactTechnavio ResearchJesse MaidaMedia & Marketing ExecutiveUS: +1 844 364 1100UK: +44 203 893 3200Email:media@technavio.comWebsite:www.technavio.com/
Global Cloud Computing Market
Cision
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Cloud computing market size to grow by USD 429.6 billion from 2022 to 2027, Increased use of containers to boost market growth - Technavio - Yahoo...
Microsoft shares surge on bumper growth in cloud-computing unit as … – Morningstar
By MarketWatch
Here are some of the day's biggest movers:
Stock gainers:
Microsoft Corp. shares (MSFT) rallied 4% after the company posted better-than-expected growth in the company's Azure cloud-computing unit.
Stock decliners:
Alphabet Inc.'s stock (GOOG) (GOOGL) dropped 7% after the Google parent's better-than-expected results were overshadowed by the relatively weak performance for the company's Google Cloud platform.
SunPower Corp. shares (SPWR) fell 9% after the solar-power company said it would have to restate some results as it overstated some inventory.
Shares of Texas Instruments Inc. were 5% lower after the company missed quarterly forecasts and guided to earnings below Wall Street estimates.
Teladoc Health Inc. shares (TDOC) fell 7% after the virtual-care company reported a narrower-than-expected quarterly loss but revenue fell short of estimates.
-MarketWatch
This content was created by MarketWatch, which is operated by Dow Jones & Co. MarketWatch is published independently from Dow Jones Newswires and The Wall Street Journal.
(END) Dow Jones Newswires
10-25-23 0527ET
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Microsoft shares surge on bumper growth in cloud-computing unit as ... - Morningstar
Data Centre Evolution: On-Premises to Cloud and Edge Computing – TechiExpert.com
Data centers are becoming an essential part of the current IT infrastructure in todays technologically advanced society. These cutting-edge facilities are in charge of centralizing the management of the enormous volumes of data that contemporary enterprises produce and rely on daily. Businesses may now save their valuable data in a single location, making it easier to access and analyze. In turn, this has increased corporate efficiency overall, cut down on duplication of work, and given more insight into how the company runs. However, data centers are far from a revolutionary invention in a number of ways. Since the invention of computers, data centers have been an integral part of company operations and come in a variety of configurations, including on-premises, cloud, and edge computing.
The initial years
Data centers date back to the mainframe era in the 1960s. Here, the development of powerful mainframe computers led to an increase in demand for securing and centralizing these sizable equipment. Data centers transitioned from their military uses into commercial use with the aid of IBMs transistorized computer, TRADIC. These areas, which were primarily referred to as computer rooms or machine rooms, were made to regulate environmental parameters including temperature and humidity. The need for clean data grew as technology advanced, but the cost of computing power made it impractical. As a result, many businesses began to outsource their needs rather than keeping up with the massive computer rooms. In general, the culmination of the earliest computing discoveries opened the door to modern technology.
The internet era
Personal desktop computers took the role of the large computers of earlier decades in the 1980s and 2000s. Microprocessors exploded, the internet came into being, and client-server computing began to take the stage. The creation of data centers, which served the expanding population of computer users, was driven by the rapid growth of connectivity. The businesses began to construct the server facility and rooms that would house thousands of servers. Additionally, a number of companies have developed in the area to run the data centers for general clients. A single physical server may now host several software environments thanks to the development of virtualization technologies. However, a new need for server cooling has also evolved with the increase in demand for on-premise data centers. At this time,Air cooling proved successful; however, liquid cooling was eventually used for high-performance computing (HPC).
At the dawn of the new millennium
Numerous developments in the first ten years of the new millennium aided the development of more flexible servers for data centres. Some of the top businesses began offering cloud storage services to clients so they could access them whenever they needed. This marked the beginning of the shift from smaller shared data centres to larger dedicated enterprise hosting, with both strategies now coexisting. The data centre services saw a number of enhancements, increasing the relevance of shared hosting, managed services, ISPs, ASPs, and other services. Additionally, there were a number of improvements in virtualization technology that greatly aided the move to the cloud. It also became common practise for users to run virtual computers on cloud servers. Additionally, database-backed applications and increasingly popular mobile applications started to acquire traction connected to the cloud.
The cloud and edge revolution
The cloud has expanded over the past ten years, and businesses have been working to utilize it to gain a competitive edge. The rise of public, private, and hybrid clouds, which catered to the changing needs of organizations, swamped the marketplace. Additionally, IaaS (infrastructure as a service), PaaS (platform as a service), and SaaS (software as a service), the three fundamentals for enterprises, began to predominate. The cloud quickly changed from being developer-friendly to developer-driven, allowing application developers to fully utilize the cloud.
The development of the wireless industry and the adoption of new technology have caused data centers to move from on-premises to the cloud in the current era of rapid technological innovation. On-premises or cloud computing, however, is not an effective method given the growing number of devices and users. Here, edge computing makes it possible to compute data close to the data source. It can therefore be efficiently used to provide speedier services with minimal latency. The data may also be exchanged throughout bigger data centers and is less time-sensitive, making it ideal for big data analysis and long-term archiving.
All things considered
Data centers are still developing as a result of technological breakthroughs and shifting business needs. Many data centers will continue to transition from the ownership-based approach to the SaaS model in the near future. A report by Allied industry Research projects that the worldwide data center industry would grow to $517.17 billion by 2030.
By switching from on-premises data centers to the cloud, which provides access to compute, storage, and networks as a commodity, businesses will be able to offload much of the effort involved with running a data center. Additionally, more devices at the edge will be served by data centers in the future as data is consumed and created at the edge more and more.
Data Centre Evolution: On-Premises to Cloud and Edge Computing:- Vikas Sharma,Founder and Director,HCIN Networks
Data centers are becoming an essential part of the current IT infrastructure in todays technologically advanced society. These cutting-edge facilities are in charge of centralizing the management of the enormous volumes of data that contemporary enterprises produce and rely on daily. Businesses may now save their valuable data in a single location, making it easier to access and analyze. In turn, this has increased corporate efficiency overall, cut down on duplication of work, and given more insight into how the company runs. However, data centers are far from a revolutionary invention in a number of ways. Since the invention of computers, data centers have been an integral part of company operations and come in a variety of configurations, including on-premises, cloud, and edge computing.
The initial years
Data centers date back to the mainframe era in the 1960s. Here, the development of powerful mainframe computers led to an increase in demand for securing and centralizing these sizable equipment. Data centers transitioned from their military uses into commercial use with the aid of IBMs transistorized computer, TRADIC. These areas, which were primarily referred to as computer rooms or machine rooms, were made to regulate environmental parameters including temperature and humidity. The need for clean data grew as technology advanced, but the cost of computing power made it impractical. As a result, many businesses began to outsource their needs rather than keeping up with the massive computer rooms. In general, the culmination of the earliest computing discoveries opened the door to modern technology.
The internet era
Personal desktop computers took the role of the large computers of earlier decades in the 1980s and 2000s. Microprocessors exploded, the internet came into being, and client-server computing began to take the stage. The creation of data centers, which served the expanding population of computer users, was driven by the rapid growth of connectivity. The businesses began to construct the server facility and rooms that would house thousands of servers. Additionally, a number of companies have developed in the area to run the data centers for general clients. A single physical server may now host several software environments thanks to the development of virtualization technologies. However, a new need for server cooling has also evolved with the increase in demand for on-premise data centers. At this time,Air cooling proved successful; however, liquid cooling was eventually used for high-performance computing (HPC).
At the dawn of the new millennium
Numerous developments in the first ten years of the new millennium aided the development of more flexible servers for data centres. Some of the top businesses began offering cloud storage services to clients so they could access them whenever they needed. This marked the beginning of the shift from smaller shared data centres to larger dedicated enterprise hosting, with both strategies now coexisting. The data centre services saw a number of enhancements, increasing the relevance of shared hosting, managed services, ISPs, ASPs, and other services. Additionally, there were a number of improvements in virtualization technology that greatly aided the move to the cloud. It also became common practise for users to run virtual computers on cloud servers. Additionally, database-backed applications and increasingly popular mobile applications started to acquire traction connected to the cloud.
The cloud and edge revolution
The cloud has expanded over the past ten years, and businesses have been working to utilize it to gain a competitive edge. The rise of public, private, and hybrid clouds, which catered to the changing needs of organizations, swamped the marketplace. Additionally, IaaS (infrastructure as a service), PaaS (platform as a service), and SaaS (software as a service), the three fundamentals for enterprises, began to predominate. The cloud quickly changed from being developer-friendly to developer-driven, allowing application developers to fully utilize the cloud.
The development of the wireless industry and the adoption of new technology have caused data centers to move from on-premises to the cloud in the current era of rapid technological innovation. On-premises or cloud computing, however, is not an effective method given the growing number of devices and users. Here, edge computing makes it possible to compute data close to the data source. It can therefore be efficiently used to provide speedier services with minimal latency. The data may also be exchanged throughout bigger data centers and is less time-sensitive, making it ideal for big data analysis and long-term archiving.
All things considered
Data centers are still developing as a result of technological breakthroughs and shifting business needs. Many data centers will continue to transition from the ownership-based approach to the SaaS model in the near future. A report by Allied industry Research projects that the worldwide data center industry would grow to $517.17 billion by 2030.
By switching from on-premises data centers to the cloud, which provides access to compute, storage, and networks as a commodity, businesses will be able to offload much of the effort involved with running a data center. Additionally, more devices at the edge will be served by data centers in the future as data is consumed and created at the edge more and more.
Originally posted here:
Data Centre Evolution: On-Premises to Cloud and Edge Computing - TechiExpert.com
How Cloud Can Help Us Master AI – Spiceworks News and Insights
Discover expert insights from Drew Firment, chief cloud strategist at Pluralsight, on optimizing cloud and AI integration for transformative business innovation. Learn essential strategies for success in the ever-evolving tech landscape.
I recently came across an Insider article lamenting techs broken promises: streaming bundles are just as expensive as cable, Uber and Lyft cost as much as taxis, and, notably, the cloud is no longer cost-effective. Ive been hearing this opinion about the cloud for some time now, and in the past year, I have seen large companies like Dropbox and HEY repatriate most (if not all) of their IT workflows back to on-premise solutions.
While cloud computing is an easy scapegoat for techs empty promises, services like Uber and Netflix wouldnt be possible without it. Cloud computing allows me to call an Uber to pick me up at a predetermined location anywhere in the world at the click of a button. Netflix prevents me from walking to my local Blockbuster to rent a movie for a similar cost. How is that not delivering on its value proposition? And yes, big organizations like Dropbox and HEY are moving back to on-prem largely due to massive economies of scale when it comes to storage costsbut the irony is that they wouldve never gotten so large without leveraging cloud computing to get through the early stages of scaling in the first place.
The cause of higher cloud cost is often related to operational inefficiencies tied to supply chain or human capital. When it comes to the cloud, much of the value isnt realized simply because people arent trained to use it efficiently, hence the growing trend of cloud cost optimization, or FinOps.
These same challenges with economies of scale and operational inefficiencies will arise as companies adopt AI. If organizations think cloud computing is expensive, wait until they try running many machine learning algorithms at scale! Most enterprises go through standard cloud adoption patterns, which will be mirrored in AI adoption. So, what can we learn from cloud computing adoption that can help us accelerate the adoption of AI more quickly, with less pain and less cost?
Many companies need help with cloud adoption because they need the foundational purpose, practices, and skill sets to do cloud computing effectively. Without these fundamentals, organizations do the same things with new tools and expect magic. Plus, as companies adopt AI, theyll first need to have mastered the basics of cloud computing and data before seeing AIs actual value. Below are four questions technology leaders should consider when making decisions about their cloud infrastructure and AI adoption.
See More: The Cloud Revolution: Adapting to Changing Realities
One of the biggest mistakes organizations make with cloud computing is using it tactically to drive cost control versus using it as a strategic lever for innovation. Ultimately, cloud computing aims to help companies create customer value. However, most organizations still need help tying cloud strategy to organizational outcomes.
Many businesses need to avoid repeating these mistakes with AI by jumping on the bandwagon without a clear and compelling use case tied to customer value. To avoid going down a path that will fail to deliver meaningful returns to the business and its customers, companies must ensure they know what cloud and AI mean for them in the context of their businesses.
Many enterprises jumped into cloud adoption with the foundational principles of DevOps or Agile firmly entrenched within their organization and culture. And while you can fake Agile, you cant fake cloud computing. As a result, many organizations simply lifted and shifted their apps and legacy practices from on-prem to the cloud. The results? Underwhelming.
Rather than take accountability when outdated practices dont achieve the desired results, many companies blame cloud computing services and threaten repatriation to the comfort of their on-prem caves.
Similarly, before expecting to achieve the desired results with the promise of AI, similar foundations must be firmly established within your organization. For starters, its nearly impossible to do AI without cloud computing, especially given the intensity and scale of GPU (graphics processing unit) requirements. Organizations cant expect to move forward with AI adoption without a solid cloud architecture to serve as their infrastructures foundation. Additionally, its just as important that enterprises establish a strong data foundation that includes collection, cleaning, and distribution. Without a strong backbone of high data quality, the language models generated by AI will reflect garbage in, garbage out.
See More: AI-Powered Cloud Security: More Resilience and Adaptability
After years of enterprises doing lift and shift migrationswherein an exact copy of an application is rehosted from one IT environment to anotherits no surprise that cloud cost optimization, or FinOps, is now trending.
While lift and shift migrations will earn you some early wins, the long-term costs of unoptimized cloud architectures could be more sustainable. Many organizations are now forced to pay the piper with reinvestments in cloud-native architecture combined with efforts to control cloud bills that mimic legacy infrastructure.
And if organizations are struggling with the cost of cloud computing, theyre in for a rude awakening once they let their developers loose to run machine learning models. Given the high cost of AI, it will be crucial for enterprises to learn from cloud computing and follow the best practices for optimizing models and establishing governance. This is the only way to control the consumption of intensive and expensive compute utilization.
Many enterprises needed to see the breadth and depth of the clouds impact on their entire organizations. As a result, companies still need to improve their cloud computing skills today. Recent researchOpens a new window found the largest cloud skills gaps exist in data, analytics, and storage (42%), followed by security and governance (37%).
Clearly, a critical mass of cloud fluency is essential for fostering a sustainable transition to the new operating model. Cloud is a culture, and theres a language to learn to participate. The same goes for AI.
For enterprises to succeed with AI, skills development must start early and often. Workforce development needs to stretch beyond technologists understanding of machine learningit should also include business leaders and other stakeholders in the value chain. Ultimately, the goal is to connect artificial intelligence with a companys most strategic advantage, human intelligence. The only way to do that effectively is through continuous education and upskilling.
The debate surrounding cloud computings effectiveness mirrors the broader discourse on the promises and pitfalls of innovation. Its crucial to recognize that cloud repatriation is not a declaration of the clouds failure but a reflection of the complex nature of getting it right.
Cloud computing came with big promises to transform our lives and undeniably has. Yet, challenges persist due to operational inefficiencies and the need for proper training. This same narrative echoes in artificial intelligence, where similar hurdles mar the road to innovation.
Both cloud and AI require a strategic approach grounded in customer value, foundational principles, cost considerations, and, most importantly, a workforce trained on technical aspects and broader business context. By learning from the clouds journey, organizations can pave a smoother path for the integration of AI, ensuring that these powerful technologies are harnessed to their full potential.
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How Can Cloud Computing Enable Remote Teams to Work More … – socPub
Remote work is here to stay, and employers are implementing new technology to accommodate the changing work environment. One solution gaining ground is the use of cloud-based software for data storage and extra computing power. Heres how the cloud has made remote work easier and safer than ever.
From a security perspective, remote work is notoriously risky. Employees often use their personal computers when working at home, especially if the company doesnt provide a designated computer. These devices may not have adequate security measures such as firewalls and antivirus software in place to protect them, and workers may inadvertently download malware when visiting sites unrelated to work.
Many people viewed cloud computing as less than secure when it first debuted. Today, however, cloud computing software has strong safety nets in place to guard against bad actors, even for people working remotely.
Cloud software providers allow businesses to tailor their user permissions and access controls to protect company data. At the same time, the providers are responsible and liable for the safety of the platform. Multiple security specialists safeguard cloud computing platforms to protect their customer base.
These security measures make remote teams more productive. Data breaches can cause internet outages, compromise critical services and disrupt normal business functions, and theytake an average of 70 days to contain. Avoiding them means workers can carry out their daily tasks uninterrupted.
Cloud computing makes collaborative accounting simpler than ever. Remote finance teams and business owners can all access the same files from different locations, allowing them to store and enter data, conduct audits and draft financial reports with ease.
Its little wonder that59% of businesses have invested in cloud-based accounting processes. A full 58% of companies that currently lack cloud computing technology plan to implement cloud-based accounting software in 2023.
Keeping a data center cool requires either a massive amount of water or air conditioning power. With energy bills, water bills, site maintenance and rent to account for, the costs of on-site data storage can add up quickly. They can also fluctuate from month to month depending on the amount of energy a business uses.
Many companies choose cloud computing solutions which have a predictable, fixed monthly fee instead of paying to maintain on-site servers. That translates to greater profit margins and more funds to spend on hardware, training and staff salaries.
Investing more money in the remote team boosts morale and improves productivity. Processes flow more smoothly when workers have better computers and software at their disposal. Companies can also use the extra funds to give hard workers a raise, boosting retention rates.
Cloud storage enables remote workers to access company databases from anywhere in the world. Employees can open any files, emails and other resources they may need to do their job without having to go into the office.
Having greater access allows workers to make their own decisions and resolve issues independently. This workplace model improves productivity and fosters a greater sense of self-competence among employees.
Shared data access also lets employees easily collaborate on projects, even if they live on opposite sides of the planet. It enables real-time interactions across time zones and language barriers.
At the same time that cloud computing offers easier collaboration, it also allows a business to control who has administrative privileges, restricting access to sensitive data like trade secrets and personal information. Only certain employees are able to open restricted files.
Cloud-based data access means people can work from home, a coffee shop or outside on a sunny day. It eliminates the need to commute or physically sit at a desk for hours at a time.
Workers can eat, move around or take breaks on their own schedule, meeting their needs better than they could in an office setting. They can also take care of children without having to take the day off or hire a babysitter.
All of these factors can make for a more balanced life and happier employees, and thats good for business. According to a 2022 Future Forum report, workers with full schedule flexibility saythey are 29% more productive and 53% better at focusing than people on a fixed schedule.
Remote workerstake fewer sick days than people working in onsite locations. They also report higher job satisfaction and are more likely to stay in their jobs. By hiring remote workers, companies can spend less time onboarding new employees and more time upskilling current staff members, saving considerable money in the process.
Cloud computing has spurred a revolutionary shift in how companies operate. Remote work is more secure and accessible than ever, making it an attractive option both for employees and organizations. By enabling easier collaboration, improved data access and a better working environment often at a lower cost than on-site data storage cloud-based solutions have become a great option for businesses of all sizes.
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