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How Can Made in India Artificial Intelligence Revolutionize the World? – Analytics Insight

February 26, 2021 | Author: admin

India is not only the worlds most populated nation, but also the youngest country in the world. The country is currently in the developing phase. But it has garnered global interest in terms of the fastest developing nation and digital adoption. This is largely because India has the 3rd largest startup ecosystem in the world, according to Startup India. And every year the number of startups in the country is snowballing. Like other countries, India is also making aggressive efforts to achieve the AI-led digital economy, with its AIforAll strategy.

The potential of artificial intelligence is not clandestine for todays enterprises. It frees up organizations from expensive resources for higher-level tasks. AI reduces the time taken to perform a task, enabling multitasking and easing the workload for existing resources. It facilitates decision-making by making the process faster and smarter. It has mass-market potential and can be deployed in any business scenario, for any work, and in every industry.

With keeping such capabilities in mind, countries across the world have built their AI strategies. AIforAll aims at enhancing and empowering human capabilities to address the challenges of accessibility, affordability, scarcity and inconsistency of skilled talent. It is designed for the effective implementation of artificial intelligence initiatives to develop scalable solutions for emerging economies.

As artificial intelligence refers to a machine that mimics human behaviour and ability, it is being used in manufacturing, healthcare, agriculture, education and skilling.

The IT and ITeS services segment is critical to Indias economy. In FY2020, the domestic revenue of the IT industry was estimated at US$44 billion and export revenue was at US$147 billion. The IT-BPM industrys revenue was estimated at around US$191 billion, growing at 7.7% year over year. It is expected to reach US$350 billion by 2025. On the other side, revenue from the digital segment is expected to grow by 38% of the total industry revenue by 2025, to reachUS$1 trillion(INR 69,89,000 crore) by 2025.

In the adoption of artificial intelligence technology, India is making good progress. Areport from Accenturesuggests that this technology can likely add US$957 billion, or 15% of Indias current gross value in 2035. This progress seems achievable as the countrys AI strategy emphasizes harnessing collaborations and partnerships, and aspires to ensure prosperity for all.

While India has been ranked second on the Stanford AI Vibrancy Index primarily for its large AI-trained workforce, leading technology institutes like the IITs, IIITs and NITs have the potential to be the cradle of AI researchers and startups. With Indias push for digitization and AI initiatives, private firms now are racing to win big contracts by spending huge capital to develop new technologies and spinning out new AI and data science-based startups.

Today, the country is on the way to be a major contributor to AI-powered solutions that address issues not only in India but around the world. For instance,HyperVerge, a B2B SaaS company, builds AI models for real-time image and video analysis. Its deep learning networks power applications for large businesses in financial services, telecom, energy, security and defense. Similarly, Indias eCommerce giant Flipkart is powering its decisions in ordering, distribution and product pricing on its platform using AI.

For big techies and firms, artificial intelligence can foster growth and profitability while transforming businesses. It can help drive innovation for entrepreneurs and young companies while improving public safety and advancing the quality of lives in society as a whole.

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UN forum unveils the wonders of artificial intelligence and other Science, Technology and Innovations for Africa – Africanews English

February 26, 2021 | Author: admin

Africa could expand its economy by a staggering $1.5 trillion dollars, by capturing just 10% of the speedily growing artificial intelligence (AI) market, set to reach $15.7 trillion by 2030.

Vera Songwe, UN Under-Secretary-General and Executive Secretary of the Economic Commission for Africa (ECA), made the argument Thursday.

She was addressing several ministers and other participants at the third Africa Regional Science, Technology and Innovation Forum (ARSTI2021), through the Director of the Technology, Climate Change and Natural Resource Development Division of ECA, Jean Paul Adam.

AI growth can help in creating additional high value and decent jobs, diminish poverty, increase the productivity of firms, preserve the environment and foster better living conditions, she added.

Research has shown that AI has the potential to solve some of the most pressing challenges facing Africa and drive sustainable development in agriculture, health, infrastructure, financial and public services and climate change, Songwe maintained.

ECAs Executive Secretary said the Republic of Congo, which is hosting the Forum in situ in Brazzaville and online, finds itself in a special subregion, blessed with natural capital, such as huge forests. However, these forests have been disproportionately depleted, in comparison to those of other parts of the world, partly due to climate change. Artificial intelligence, she argued, could enhance already existing technologies which have been used to tackle COVID-19, to solve such climate change problems.

The imminent creation of an African Artificial Intelligence Research Centre in Brazzaville, Congo, with support from ECA, could give momentum to this new movement in Africa.

Lon Juste Ibombo, Congos Minister of Posts, Telecommunications and Digital Economy, praised ECA for its background work towards establishing the Centre, which, he said, demonstrates Africa is innovative and uninhibited.

The Centre is being designed to improve the current landscape of Artificial Intelligence research in Congo and in Africa in general, to orient the use of AI to foster economic and social development, while promoting close collaboration between academia and the industrial sector in AI and robotics across Africa.

According to Shamila Nair-Bedouelle, UNESCOs Assistant Director-General for Natural Sciences, it is such investments and strong partnerships for capacity building in science, technology and innovation which would accelerate the implementation of the Sustainable Development Goals (SDGs) in Africa.

Innovation cannot be decreed; it is planned and designed! enthused Arlette Soudan-Nonault, Minister of Tourism and Environment of the Congo.

Africa therefore has no excuse to be absent from the big rendezvous of innovation, which defines the 21st century, she warned, adding that university dons, economists and, industrialists must come together to lead todays leaners into this exciting world.

In such a world, the STI that we teach will determine what our continent will become, echoed Amon Murwira, Minister of Higher and Tertiary Education, Innovation, Science and Technology Development, Zimbabwe.

Our industry must emerge from our classrooms and laboratories, supported by the correct educational system design and framework which no longer teaches students about where they get things but how to make things, he insisted, as he cited his countrys Education 5.0 philosophy. The philosophy is sequenced on (i) teaching, (ii) research, (iii) community outreach, (iv) innovation and (v) industrialisation.

It is therefore up to Africa to take up this challenge of rapidly improving investments and attention to STIs, hinged upon its endowments in nature and biodiversity our surest guarantee said Parfait Aim Coussoud Mavoungou, Minister of Scientific Research and Technological Innovation of Congo, and incoming Chair of the Forum.

ARSTI2021 features several debates and breakout sessions to follow-up and review of progress made since the first two sessions of 2109 and 2020.

It has also featured an innovation bootcamp for young Africans, both in person in Brazzaville and connecting from across the continent and affording them an opportunity to develop projects using skills they have learnt in relation to robotics and AI, as well as access to 3D printing technologies.

By the time the Forum rounds off on Friday, it would have identified potential mechanisms and measures that African countries could deploy to leverage STIs for achieving the Sustainable Development Goals and the Aspirations of Agenda 2063.

Distributed by APO Group on behalf of United Nations Economic Commission for Africa (ECA).

Africanews provides content from APO Group as a service to its readers, but does not edit the articles it publishes.

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Into the future: Tel Aviv University launches new artificial-intelligence center – JNS.org

February 26, 2021 | Author: admin

(February 25, 2021 / JNS) Tel Aviv University has launched its new Multidisciplinary Center for Artificial Intelligence and Data Science on Wednesday during the universitys AI week to encourage research that uses the most advanced methods of both disciples.

The centers aim is to train a new generation of researchers and industrialists who will take Israel to the forefront of the global AI revolution in the coming years.

[AI] is expected to impact our way of life in every aspectfrom drug development and data-based personalized medicine to defense and security systems, financial systems, scientific discoveries, robotics, autonomous systems and social issues, said Professor Meir Feder, who will head up the center.

It is very important to train human capital in this area, and therefore, the center will provide all TAU students with basic AI education, he added.

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The center will work with hundreds of researchers that include scientists on campus and beyond, as well as collaborate with the military, public institutions, and leading universities and research institutes around the world, said Feder.

The new center follows the recent launch at TAU of a multidisciplinary epidemic research center. Other multidisciplinary centers, which will address climate change and aging, are in the planning stages, according to university president Ariel Porat.

The establishment of the AI center is one more step in implementing TAUs vision for advancing groundbreaking, multidisciplinary research that brings together the universitys finest researchers, the high-tech industry and the community, said Porat.

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RIT faculty using smartphones and artificial intelligence to help assess crop roots | RIT – RIT University News Services

February 26, 2021 | Author: admin

A Rochester Institute of Technology faculty member is creating new artificial intelligence systems that could empower agricultural researchers, breeders, nurseries, and other users to analyze the roots of their crops with the power of their smartphones. Guoyu Lu, an assistant professor in RITs Chester F. Carlson Center for Imaging Science, is receiving a $450,000 New Investigator grant from the U.S. Department of Agriculture to conduct the research.

The projects primary goal is to develop a mobile app and platform that can construct 3D models of a crops root system and extract important traits about the roots using artificial intelligence technologies. Lu is aiming to create an easy-to-use system that does not require sophisticated and expensive equipment.

Roots play a central role in plant functions and their interactions with their physical environment, said Lu. If we can accurately estimate characteristics such as the root shape, surface area, branching, and angles in orchards, it can help us understand the interaction of plants with their biotic and abiotic environments and to breed resilient crops.

App users will be able to take a short video with their smartphone and receive an efficient, quick, and convenient analysis that reconstructs 3D root models and determines key traits about the plant. The goal is to eventually create a system that can assess the roots of many different types of crops, but the pilot will focus on two different cases: apples and sweet potatoes.

Over the course of the three-year project, Lu will collaborate with partners including Associate Professor Awais Khan from Cornell University and Professor Arthur Villordon of Louisiana State University, plus undergraduate and graduate students at RIT.

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The AI Infrastructure Alliance Launches With 25 Members to Create the Canonical Stack for Artificial Intelligence Projects – Business Wire

February 26, 2021 | Author: admin

SAN FRANCISCO--(BUSINESS WIRE)--Today, the AI Infrastructure Alliance (AIIA), a non-profit organization with 25 global members officially launched with the mission to create a robust collaboration environment for companies and communities in the artificial intelligence (AI) and machine learning (ML) space. This global Alliance brings together top technologists across the AI spectrum and includes a wide range of member companies. Together, these companies and communities provide a glimpse into the future where AI creates real value for everyday businesses and not just big tech powerhouses.

Partnerships in the Alliance will help create a Canonical Stack for AI, by driving strong engineering standards and creating seamless integration points between various layers of the AI infrastructure ecosystem. Canonical means "a set of rules, standards and principles by which something is judged, and a Canonical Stack (CS) for AI will set the standard for how enterprises develop and design machine learning models at scale. It will let data scientists and data engineers move up the stack to solve more complex, higher order problems, instead of reinventing the wheel on every data science project.

The AI and ML space currently lacks a standard set of tools and solutions, blocking data science teams from sharing their work and collaborating across the world. Rather, there is wild proliferation of proprietary, cloud lock-in solutions that benefit individual companies, but not the data scientists and engineers building the AI applications of today and tomorrow. The Alliance came together to help those data science teams break out of lock-in so they can build on top of a standardized, open platform that works across all of their environments.

"Time and again, I've seen development teams get excited about the potential of AI to transform their business and applications, only for them to get stopped dead in their tracks by a fragmented and confusing array of technologies with little to no integration," said Dan Jefferies, Director of the AIIA. "Despite a massive surge of partial solutions, no single tool exists that lets teams leverage the true power and potential of AI. The AI Infrastructure Alliance will help create clarity in this confusing space by building a cohesive framework and bringing together leaders and innovators to help set the standard for how data science teams build models now, and into the future."

The AI Infrastructure Alliance provides a range of benefits to member companies including opportunity to:

Creating a place for top AI companies to work together will speed development of the infrastructure that businesses really need to make the promise of AI a reality, said Joey Zwicker, Co-Founder of Pachyderm, a founding member of the AIIA. As the Canonical Stack comes together, it will vastly reduce time to value for any company, in any industry, thats leveraging AI across their business.

Core founding members include Pachyderm, Seldon, Determined AI, Algorithmia, Tecton, ClearML by Allegro AI, Neu.ro, ZenML by Maiot, DAGsHub, TerminusDB, WhyLabs, YData, Superb AI, Valohai, Superwise.ai, cnvrg.io, Arize AI, CometML, Iguazio, UbiOps, and Fiddler. These companies have raised over $200M in collective venture capital funding from top firms including Andreessen Horowitz, Sequoia Capital, GV, Benchmark, NorWest Venture Partners, Madrona Venture Group and Gradient Ventures.

About the Artificial Intelligence Infrastructure Alliance

The Artificial Intelligence Infrastructure Alliance (AIIA) is a consortium of leading artificial intelligence startups with a mission to help every company realize the infinite potential of AI. Formed in February 2021, the Alliance is focused on tying together the complex web of existing AI technologies into a single Canonical Stack, providing the infrastructure on which any companyfrom tiny startups to global enterprisescan run impactful AI projects. Founding members include Pachyderm, Seldon, Determined AI, Algorithmia, Tecton, ClearML by Allegro AI, Neu.ro, ZenML by Maiot, DAGsHub, TerminusDB, WhyLabs, YData, Superb AI, Valohai, Superwise.ai, cnvrg.io, Arize AI, CometML, Iguazio, UbiOps, and Fiddler. To learn more about the AIIA or to become a member, visit https://ai-infrastructure.org/.

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Artificial Intelligence Technology Solutions Discusses the Potential of Its Robotic Assistance Devices (RAD) with The Stock Day Podcast – Yahoo…

February 26, 2021 | Author: admin

Phoenix, Arizona--(Newsfile Corp. - February 22, 2021) - The Stock Day Podcast welcomed Artificial Intelligence Technology Solutions (OTC Pink: AITX) ("the Company"), an innovator in the delivery of artificial intelligence-based solutions that empower organizations to gain new insight, solve complex challenges and fuel new business ideas. CEO of the Company, Steve Reinharz, joined Stock Day host Everett Jolly.

Jolly began the interview by asking about the Company's background and current projects. "It was 2017 when I did the reverse merger into the public company that I then renamed 'Artificial Intelligence Technology Solutions'," explained Reinharz, after elaborating on his experience in the artificial intelligence space.

"What are your revenue goals moving forward and what markets are you hoping to penetrate?" asked Jolly. "As far as revenues go, we've had double-digit percent growth month-over-month, which is fantastic. That kind of exponential growth is going to be one of our goals for the foreseeable future," said Reinharz, noting that the Company has also been working to improve the Company's financials. "We had a situation where sales were outpacing our ability to produce, so we moved into a new assembly location in California, and recently it looks like we have been outgrowing that facility, which will accelerate our plans to move into a much larger facility in Michigan presumably before the end of this year."

"From a sales growth standpoint, I couldn't be happier. From a market acceptance standpoint, we've got a long way to go. We're just scratching the surface," said Reinharz. "We have a platform-style solution that applies across a variety of markets," he continued. "We have five products in the market right now," said Reinharz. "We have a very focused road map for 2021 and 2022 from a development standpoint. So, we're just going to continue to build and grow," he shared. "Our mission is to be the incumbent in this new space that we are creating, which we call the 'Autonomous Remote Services' space."

Story continues

"For the Robotic Assistance Devices (RAD), what is the price point from the lowest to the highest?" asked Jolly. "It is going to be from about $700 to $6,000 per month," explained Reinharz, noting that the Company's solutions drastically reduce the cost of traditional manned security services.

The conversation then turned to a recent advertisement released by the Company. "We wanted to participate in a positive messaging piece," said Reinharz. "It's called 'America Renewed' on USA TODAY," he added. "We wanted to be a part of the story of how we are protecting ourselves and staying healthy using technology and autonomous systems to do it," explained Reinharz. "We had paid participation by all of the dealers on the ad," he shared, noting that the advertisement represented both a low-cost and high-visibility opportunity for the Company.

To close the interview, Reinharz encouraged listeners to consider the future and potential of the artificial intelligence space as workplace roles continue to evolve and embrace technology. Reinharz also expressed his gratitude for the opportunity to reach listeners and shareholders, and encouraged listeners to take a closer look at the Company's current projects and new developments.

To hear the entire interview with Steve Reinharz, follow the link to the podcast here: https://audioboom.com/posts/7805851-artificial-intelligence-technology-solutions-discusses-the-potential-of-its-robotic-assistance-de

Investors Hangout is a proud sponsor of "Stock Day," and Stock Day Media encourages listeners to visit the company's message board at https://investorshangout.com/

CAUTIONARY DISCLOSURE ABOUT FORWARD-LOOKING STATEMENTS

This release contains "forward-looking statements" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E the Securities Exchange Act of 1934, as amended and such forward-looking statements are made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Statements in this news release other than statements of historical fact are "forward-looking statements" that are based on current expectations and assumptions. Forward-looking statements involve risks and uncertainties that could cause actual results to differ materially from those expressed or implied by the statements, including, but not limited to, the following: the ability of Artificial Intelligence Technology Solutions to provide for its obligations, to provide working capital needs from operating revenues, to obtain additional financing needed for any future acquisitions, to meet competitive challenges and technological changes, and other risks. Artificial Intelligence Technology Solutions undertakes no duty to update any forward-looking statement(s) and/or to confirm the statement(s) to actual results or changes in Artificial Intelligence Technology Solutions expectations.

About Artificial Intelligence Technology Solutions (AITX)

AITX is an innovator in the delivery of artificial intelligence-based solutions that empower organizations to gain new insight, solve complex challenges and fuel new business ideas. Through its next-generation robotic product offerings, AITX's RAD and RAD-M companies help organizations streamline operations, increase ROI and strengthen business. AITX technology improves the simplicity and economics of patrolling and guard services, and allows experienced personnel to focus on more strategic tasks. Customers augment the capabilities of existing staffs and gain higher levels of situational awareness, all at drastically reduced cost. AITX solutions are well suited for use in multiple industries such as enterprises, government, transportation, critical infrastructure, education and healthcare. To learn more, visit http://www.aitx.ai and http://www.roboticassistancedevices.com, or follow Steve Reinharz on Twitter @SteveReinharz.

ContactsInvestor Relations Contact The Waypoint Refinery, LLC(845) 397-2956www.thewaypointrefinery.com

Steve Reinharz (949) 636-7060

About The "Stock Day" Podcast

Founded in 2013, Stock Day is the fastest growing media outlet for Nano-Cap and Micro-Cap companies. It educates investors while simultaneously working with penny stock and OTC companies, providing transparency and clarification of under-valued, under-sold Micro-Cap stocks of the market. Stock Day provides companies with customized solutions to their news distribution in both national and international media outlets. The Stock Day Podcast is the number one radio show of its kind in America.

SOURCE:

Stock Day Media

(602) 821-1102

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/75058

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Opportunities for The Global Artificial Intelligence Market to Reach $70 Billion By 2025 – Yahoo Finance

February 26, 2021 | Author: admin

DALLAS, TX / ACCESSWIRE / February 22, 2021 / According to a new market report published by Lucintel, the future of the global artificial intelligence market looks attractive with opportunities in the healthcare, security, retail, automotive, manufacturing, and financial technology (fintech) sectors. The global artificial intelligence market is expected to decline in 2020 due to global economic recession led by COVID-19. However, market will witness recovery in the year 2021 and it is expected to reach an estimated $70 billion by 2025 with a CAGR of 21% from 2020 to 2025. The major drivers for this market are increasing demand for virtual assistance for easy accessibility of services and growing adoption of cloud-based technology.

To download report brochure, please go to https://www.lucintel.com/artificial-intelligence-market.aspx and click "report brochure" tab from the menu.

In this market, different types of artificial intelligence such as machine learning, natural learning processing, and others are used as technology. On the basis of comprehensive research, Lucintel forecasts that the machine learning technology will remain the largest segment and it is also expected to witness the highest growth over the forecast period due to increasing adoption of this technology in the autonomous applications and growing consumer preference for IoT-enabled devices.

Within the artificial intelligence market, media and advertising will remain the largest application due to an increasing adoption of customer-centric marketing strategies and increasing use of social platform for advertisements. The healthcare segment is expected to witness the highest growth over forecast period due to advancements in clinical research and growing demand for electronics-based medical equipment and sensors in the healthcare applications.

APAC will remain the largest region and it is also expected to witness the highest growth over the forecast period due to the growing adoption of IoT (internet of things), increasing installation of smart home devices, and growing industrial automation in countries, such as China, India, and Taiwan.

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Emerging trends, which have a direct impact on the dynamics of the artificial intelligence industry, include growing adoption of artificial intelligence in IoT applications and increasing demand for AI-enabled processors. Intel, IBM, Amazon, Facebook, NVIDIA, Apple, Microsoft, General Electric, and NEC Corporation and others are among the major artificial intelligence manufacturers.

Lucintel, a leading global strategic consulting and market research firm, has analyzed the global artificial intelligence market by end use industry, technology, product and service, and region and has come up with a comprehensive research report entitled "Growth Opportunities in the Global Artificial Intelligence Market 2020-2025: Trends, Forecast, and Opportunity Analysis." The Lucintel report serves as a catalyst for growth strategy as it provides a comprehensive data and analysis on trends, key drivers, and directions. The study includes a forecast for the global artificial intelligence market by end use industry, technology, product and service, and region as follows:

By End Use Industry [ $B shipment analysis from 2014 to 2025]:

By Technology [$B shipment analysis from 2014 to 2025]:

By Product and Service [$B shipment analysis from 2014 to 2025]:

By Region [$B shipment analysis for 2014 to 2025]:

North America

United States

Canada

Mexico

Europe

United Kingdom

France

Germany

Asia Pacific

The Rest of the World

This 206-page research report will enable you to make confident business decisions in this globally competitive marketplace. For a detailed table of contents, contact Lucintel at +1-972-636-5056 or click on this link helpdesk@lucintel.com.

About Lucintel

Lucintel, the premier global management consulting and market research firm, creates winning strategies for growth. It offers market assessments, competitive analysis, opportunity analysis, growth consulting, M&A, and due diligence services to executives and key decision-makers in a variety of industries. For further information, visit http://www.lucintel.com.

Brandon FitzgeraldLucintelDallas, Texas, USAEmail: brandon.fitzgerald@lucintel.comTel. 972.636.5056Cell: 303.775.0751

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View source version on accesswire.com: https://www.accesswire.com/630968/Opportunities-for-The-Global-Artificial-Intelligence-Market-to-Reach-70-Billion-By-2025

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We don’t need to go back to the office to be creative, we need AI – Wired.co.uk

February 26, 2021 | Author: admin

Despite predictions of the death of the office in the 1990s, remote working has been slow to take off. Across the EU the share of the population working from home has hovered between four and five per cent for the past two decades.

However, Covid-19 looks likely to change all of that. In 2015, researchers at Stanford University found that remote work increased performance by 13 per cent due to fewer breaks, sick-days and a quieter working environment. And several anecdotal studies of remote working during the pandemic show that people working from home have become more productive.

In 2021, however, we will have to grapple with its downsides. While working from home brings efficiency gains in the short run, the danger is that it will imperil the innovation that drives business performance over the long run. Indeed, efficiency is the enemy of innovation, which is fundamentally about exploration. Having everyone working by themselves makes it hard for people to interact and explore new possibilities.

The solution to this dilemma will come from artificial intelligence (AI). The inherent trade-off between exploration and efficiency is well known to AI researchers. One question that those working in AI often have to grapple with is how often an algorithm should take actions that it hasnt tried, as against actions it has already tried that will usually lead to some reward.

Untried actions can yield spectacular results. For example, when the DeepMind computer program AlphaGo beat Go world champion Lee Sedol in 2016, it did so by exploring moves most human players had never seen before. Prior to move 37 in the second match against Sedol, AlphaGo had calculated that there was a one-in-ten-thousand chance that a human player would make that same move. And the adventurous gamble paid off.

Human innovation involves a similar process of exploration and, to facilitate innovation, companies must get their employees to collide. Before the pandemic, this was achieved through open-plan architecture that encouraged water-cooler moments of unplanned encounters. But, with many employees working from home, corporations will have to find different ways to facilitate these kinds of random interactions.

The prime reason why, until now, people prefer to work together in person rather than online is that digital technologies have provided poor substitutes for the sporadic encounters that happen at work. But AI has the potential to change that. AI is already good at matching, whether it is finding the right film on Netflix or the right partner on a dating app.

In 2021, companies will be throwing resources at developing this kind of matching AI in the workplace. Based on employees emails, Google searches and other data, AI algorithms will be able to deduce what people are working on and their current interests and will act upon that by making digital introductions that would otherwise not have happened. Employees will then evaluate the usefulness of each digital encounter, providing feedback for the AI to learn from.

As more companies grapple with the problem of powering innovation at a time when many are forced to work from home, we will see more AI applications being developed to promote sporadic digital encounters in 2021. If we can get this right, as the economist Frances Cairncross observed back in the 1990s, the world in which millions of people trooped from their home to the office each morning, and reversed the procedure each evening, may finally strike us as bizarre.

Carl Benedikt Frey is director of the Futureof Work at Oxford Universitys Martin School and author of The Technology Trap (Princeton)

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Brinks Home Security Will Leverage AI to Drive Customer Experience – Security Sales & Integration

February 26, 2021 | Author: admin

A partnership with startup OfferFit aims to unlock new insights into customer journey mapping with an AI-enabled, self-learning platform.

DALLAS Brinks Home Security has embarked on what it terms an artificial intelligence (AI) transformation in partnership with OfferFit to innovate true 1-to-1 marketing personalization, according to an announcement.

Founded last year, OfferFit uses self-learning AI to personalize marketing offers down to the individual level. Self-learning AI allows companies to scale their marketing offers using real-time results driven by machine learning.

Self-learning AI, also called reinforcement learning, first came to national attention through DeepMinds AlphaGo program, which beat human Go champion Lee Sedol in 2016. While the technology has been used in academic research for years, commercial applications are just starting to be implemented.

Brinks Home Security CEO William Niles approached OfferFit earlier this year about using the AI platform to test customer marketing initiatives, according to the announcement. The pilot program involved using OfferFits proprietary AI to personalize offers for each customer in the sample set.

At first, the AI performed no better than the control. However, within two weeks, the AI had reached two times the performance of the control population. By the end of the third week, it had reached four times the result of the control group, the announcement states.

Brinks Home Security is now looking to expand use cases to other marketing and customer experience campaigns with the goal of providing customers with relevant, personalized offers and solutions.

The companies that flourish in the next decade will be the leaders in AI adoption, Niles says. Brinks Home Security is partnering with OfferFit because we are on a mission to have the best business intelligence and marketing personalization in the industry.

Personalization is a key component in creating customers for life. The consumer electronics industry, in particular, has a huge opportunity to leverage this type of machine learning to provide customers with more meaningful company interactions, not only at the point of sale but elsewhere in the customer lifecycle.

Our goal is to create customers for life by providing a premium customer experience, says Jay Autrey, chief customer officer, Brinks Home Security. To achieve that, we must give each customer exactly the products and services they need to be safe and comfortable in their home. OfferFit lets us reach true one-to-one personalization.

The Brinks Home Security test allowed OfferFit to see its AI adapting through a real-world case. Both companies see opportunities to expand the partnership and its impact on the customer lifecycle.

We know that AI is the future of marketing personalization, and pilot programs like the one that Brinks Home Security just completed demonstrate the value that machine learning can have for a business and on its customers, comments OfferFit CEO George Khachatryan.

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Ann Coulter: NYT Was he innocent? Answer: No – Today’s News-Herald

February 26, 2021 | Author: admin

Here is this weeks installment of The New York Times is ALWAYS lying about criminals (and probably everything else).

The Times desperately wants you to believe that there are actual cases of innocent people being put to death in America. Their current poster boy for the cause is Sedley Alley, executed in 2006. But the Criminal Lobby is hoping a post-mortem DNA test on evidence that has nothing to do with his guilt or innocence will allow them to howl that an INNOCENT man was executed!

I knew nothing about this case, but I knew the Times description of the facts was a lie. How did I know?

1) No jury would have convicted a man, much less sentenced him to death, much less had that sentence repeatedly upheld, on such a flimsy record; and

2) There is no credible evidence that a single innocent person has been put to death in this country for at least 75 years.

Here are the facts the about the Criminal Lobbys latest baby seal.

On the night of July 11, 1985, two Marines from a naval base in Millington, Tennessee, reported a possible kidnapping after they heard a female jogger screaming, Dont touch me! Leave me alone! They ran in her direction, but just as they got close, a station wagon peeled off the side of the road. A gate guard also reported seeing a station wagon, which he said was being driven by a man constraining a woman.

All three witnesses described the car as a late-model green or brown Ford or Mercury station wagon with wood paneling, Kentucky tags and a loud muffler.

Alley, who owned a dark green 1972 Mercury station wagon with wood paneling and a Kentucky license plate, was brought in for questioning at 1 a.m. that night. The Marines whod reported the kidnapping identified Alleys vehicle as the one theyd seen, both by sight and by the roar of the muffler.

But Alley and his wife gave a satisfactory explanation for their whereabouts and were released.

At 6 a.m. on July 12, the body of 19-year-old Marine Lance Cpl. Suzanne Collins was found in a nearby park. Alley was arrested and promptly confessed to murdering her claiming it was an accident.

He told his wife, Yes, I killed the gal at ... Orgill Park.

In his lengthy, tape-recorded confession, Alley tried to soft-pedal his barbaric crime, claiming hed hit Collins with his car by accident, and only decided to savagely beat her to death because, as he was driving her to the hospital, she threatened to turn him into the police.

Alley then took investigators to the precise spot where hed murdered Collins and even showed them the tree where hed broken off the branch that hed jammed inside of her.

At trial, Alley admitted he did it, but pleaded insanity. The jury didnt buy it, convicted him and sentenced him to death.

Here is what the Times Emily Bazelon tells that papers clueless readers about Alleys case:

[T]wo Marines ... reported crossing paths with Lance Corporal Collins while she was running. They said that moments after they saw her, they dodged a brown station wagon with a blue license plate ... [L]aw enforcement officers stopped Sedley Alley, then 29. He was driving a dark green station wagon with a blue plate.

Times readers are led to believe that although witnesses said it was a BROWN station wagon, Tennessee yokels picked up a guy in a GREEN station wagon!

Except thats not true. The BOLO alert (be on the lookout) put out by the Naval Investigation Service identified a a brown or green Ford or Mercury station wagon with woodgrain on the sides.

Bazelon:

When the investigators began interrogating him, Mr. Alley, who had been drinking, denied knowing anything about Lance Corporal Collins and asked for a lawyer. But 12 hours later, he signed a statement confessing to the murder.

Times readers are supposed to think these backwoods Nazis interrogated Alley without a lawyer for 12 hours until he confessed! In fact, the only reason he signed a statement 12 hours later was that, after being questioned the night of the crime, he was sent home. Alley wasnt arrested until after Collins body was discovered the next day, whereupon he quickly confessed.

Bazelon:

Mr. Alleys admission, which he later said was false and coerced ...

Yes, later in the sense of 20 years later. For two decades, Alley never denied hed murdered Collins. He only recalled that his confession was coerced in 2004, when he was trying to delay the hangmans noose.

Bazelon:

But the location he gave for the collision didnt line up with the witness accounts.

There were no witness accounts for the collision for the simple reason that there was no collision. My car hit her by accident was Alleys attempt to mitigate his barbarous crime.

You know what else, Emily? His car wasnt seen driving in the direction of the hospital, either!

Somehow, his lies not matching the facts is supposed to be a point in Alleys favor.

Bazelon:

[Alleys confession] did not match the physical evidence. ... He said he ... stabbed her with a screwdriver and killed her with a tree branch. ... And the autopsy report showed that Lance Corporal Collins was not hit by a car nor stabbed with a screwdriver.

Again: There was no collision.

Im not sure what Bazelons point is about the screwdriver and the tree branch, but heres the evidence presented at trial:

The pathologist, Dr. James Bell, testified that the cause of death was multiple injuries, [many] of which could have been fatal. ... He testified that the injuries to the skull could have been inflicted by the rounded end of defendants screwdriver that was found near the scene ... He identified the tree branch that was inserted into the victims body. It measured 31 inches in length and had been inserted into the body more than once, to a depth of twenty inches ...

Bazelon:

Tire tracks found at the crime scene didnt match Mr. Alleys car, shoe prints didnt match his shoes, and a third witness who saw a man with a station wagon, close to where Lance Corporal Collins was killed, described someone who was several inches shorter than Mr. Alley, with a different hair color.

Times readers are perfectly prepared to believe that a jury of toothless hicks looked at evidence overwhelmingly clearing Alley and convicted him anyway.

But that didnt happen, because having seen the evidence for themselves, Alley and his lawyer decided his best course was to admit he did it and plead insanity. All this alleged evidence is post-hoc nonsense invented by defense lawyers that has not been admitted under the rules of evidence, has not been subjected to cross-examination, and would not prove his innocence.

Seventy-five years and counting with no credible evidence that a single innocent person has been put to death in America.

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Ann Coulter: NYT Was he innocent? Answer: No - Today's News-Herald

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