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BOULDER, Colo.--(BUSINESS WIRE)--Artificial intelligence (AI) within the consumer, enterprise, government, and defense sectors is migrating from a conceptual nice to have to an essential technology driving improvements in quality, efficiency, and speed. According to a new report from Tractica, the top industry sectors where AI is likely to bring major transformation remain those in which there is a clear business case for incorporating AI, rather than pie-in-the-sky use cases that may not generate return on investment for many years.

The global AI market is entering a new phase in 2020 where the narrative is shifting from asking whether AI is viable to declaring that AI is now a requirement for most enterprises that are trying to compete on a global level, says principal analyst Keith Kirkpatrick. According to the market intelligence company, AI is likely to thrive in consumer (Internet services), automotive, financial services, telecommunications, and retail industries. Not surprisingly, the consumer sector has demonstrated its ability to capture AI, thanks to the combination of three key factors large data sets, high-performance hardware and state-of-the-art algorithms. Tractica estimates that many of the top enterprise AI verticals will follow and replicate a strategy similar to the consumer Internet companies. Annual global AI software revenue is forecast to grow from $10.1 billion in 2018 to $126.0 billion by 2025.

Tracticas report, Artificial Intelligence Market Forecasts, provides a quantitative assessment of the market opportunity for AI across the consumer, enterprise, government, and defense sectors. The study includes market sizing, segmentation, and forecasts for 333 AI use cases, including more than 200 unique use cases. Tractica has added use cases spread across multiple industries, including energy, manufacturing, retail, consumer, transportation, public sector, media and entertainment, telecommunications, and financial services. Global market forecasts, segmented by use case, technology, geography, revenue type, and meta category, extend through 2025. An Executive Summary of the report is available for free download on the firms website.

About Tractica

Tractica, an Informa business, is a market intelligence firm that focuses on emerging technologies. Tracticas global market research and consulting services combine qualitative and quantitative research methodologies to provide a comprehensive view of the emerging market opportunities surrounding Artificial Intelligence, Robotics, User Interface Technologies, Advanced Computing and Connected & Autonomous Vehicles. For more information, visit http://www.tractica.com or call +1.303.248.3000.

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Artificial Intelligence Software Market to Reach $126.0 Billion in Annual Worldwide Revenue by 2025, According to Tractica - Business Wire

SINGAPORE - Artificial intelligence (AI) technologies can benefit designers, if they know how to harness them.

Statistical data can be used to predict an outcome a method known as predictive modelling. In urban planning for example, demand for public trains can be forecasted in order to create more efficient public transport deployment plans.

To equip students with such skills, the Singapore University of Technology and Design (SUTD) has launched a new undergraduate degree in design and AI,in anticipation of a growing demand for talents who can combine expertise in design innovation with AI technology.

The 3 -year programme - the first of its kind in Singapore - will take in students this academic year, which starts in May, SUTD said on Friday (Jan 10).

Students will be exposed to areas of design such as user interface/user experience (UI/UX), product, systems, built environment, and data-driven design.

They will also learn to use AI technologies and algorithms to produce better design and applications.

Graduates ofthis programme will be able to work as data scientists and data visualisation specialistsin industries such as urban planning, product design and telecommunications, the university said.

Established in 2009, SUTD is the fourth autonomous university in Singapore and focuses on engineering, innovation and design.

It said that the entry requirements for the new programme are the same as for its other four degrees: architecture and sustainable design; engineering product development; engineering systems and design; and information systems technology and design.

Generally, students should be competent in mathematics and the sciences, namely physics or chemistry.

Statistics provided by the university show that of the A Level students who were offered places in the university admission exercise last year, nearly all had taken mathematics at the H2 level, and eight in 10 scored at least a B.

Nearly all had also taken either physics or chemistry, or both, at the H2 Level, and nearly seven in 10 scored at least a B for either or both subjects.

SUTD president Chong Tow Chong said: "The recent announcements from Deputy Prime Minister Heng Swee Keat on the next steps in Singapore's Smart Nation journey underscorethe importance of artificial intelligence and the role it will play in bringing about social and economic benefits.

"The main goal of the design and AI programme is to equip students with the ability to create human-centred design using data analysis and machine learning, which is AI-driven," added Professor Chong.

Jurong Pioneer Junior College graduate Michael Hoon, who read H2 maths, further maths and physics, and also took a H3 physics module offered by Nanyang Technological University, is interested in the new programme.

Said the 18-year-old: "I've always been interested in maths and science since I was young, for the most part, due to exposure from school teachers and researching a lot of information online.

"Both subjects are visibly all around us and pretty much serveas the foundations of our survival and development, and being able to apply and integrate the theoretical modelling we have learnt into our daily livesis pretty interesting too."

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SUTD to offer new undergrad degree in design and artificial intelligence - The Straits Times

Marco Stefanini, Global CEO Global and founder of the Brazilian multinational, will be present in the annual event and will have an article of his in the INSEAD Global Talent Competitiveness Index Report

In the year in which it reaches its 50th anniversary, the World Economic Forum, a big annual event that reunites the main leaderships and authorities of the planet in the political and economic scenes will count on Stefaninis participation, one of the most important providers in global business solutions based on digital technologies. The event will take place from the 21st to the 24th of January 2020 in Davos in the Swiss Alps. Marco Stefanini, Global CEO and founder of the Brazilian multinational, will be present along with Felipe Monteiro, Strategy professor at INSEAD and Director of The Global Talent Competitiveness Index (GTCI).

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During the annual event, which will have as a central theme Stakeholders for a more cohesive and sustainable world, the INSEAD 2020 GTCI Report will be launched on January 22nd at the Sustainable Development Goals (SDG) Tent. The report will showcase an article titled Latin America: The next source of talent in AI? written by Marco Stefanini in partnership with Fbio Caversan, Artificial Intelligence Research & Development Director of Stefanini USA.

On Chapter 2 of the important global report, the Brazilian multinational evaluates the scope of the Science of Artificial Intelligence and technology in Latin America. Additionally, it highlights Marco Stefaninis vision for the current and future scenarios of this theme, which has been the keynote of the disseminated digital transformation.

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For several years, Stefanini has been maintaining a solid partnership with INSEAD, one of the worlds largest and most prestigious business schools and will promote in 2020 the 3rd class in the Leadership Transformation Program, which will take place from March 28th to April 4th on INSEADs Fontainebleau campus in France. The Leadership Transformation proposes a journey of discoveries and knowledge so that high leaderships can surpass limits through collaboration and innovation amongst each other.

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Stefanini Participates in the 2020 Davos World Economic Forum and Brings Its Experience in Artificial Intelligence - MarTech Series

New Delhi, January 7, 2020 International Data Corporation (IDC) has revealed predictions impacting the Artificial Intelligence (AI) investments for organizations in India for 2020 and beyond. In this data-driven era, AI is becoming a priority for organizations in India, driven by the need to automate, faster route to market, and agility. Organizations in India are warming up to leveraging AI when it comes to automating processes, deriving actionable insights, and prototyping with use cases to evaluate the implication of the technology.

According to Rishu Sharma, Principal Analyst, Cloud and Artificial Intelligence, IDC India, "Indian organizations are looking at leveraging AI driven by the need for automation to increase the productivity. As we deal with large set of unstructured data being created in the digital era, AI will be the backbone when it comes to extracting valuable insights. Unsurprisingly, the primary reason holding the organizations back when it comes to implementing AI technology is - the trustworthiness of the data. Enterprises also cite unrealistic expectations, lack of skilled staff and unclear business case, as the reasons for failure of AI projects."

IDC India has listed the following ten predictions that would impact the technology buyers and suppliers in AI in India in 2020 and beyond:

#1 Outcomes as a Service: By 2025, AI will be integral to every part of the business in India, resulting in 20% of the overall spend on AI solutions as "outcomes as a service" that drives innovation at scale and superior business value.

#2 Worker Augmentation: By 2024, 50% of enterprises in India will invest in employee retraining and development, including third-party services, to address new skill needs and ways of working resulting from AI adoption.

#3 Digital Trust: By 2024, top 100 organizations in India will have formal programs to monitor their "digital trustworthiness" as digital trust becomes a critical corporate asset.

#4 Intelligent Process Automation: By 2024, 50% of enterprises in India will embed intelligent automation into technology and process development, using AI-based software to discover operational and experiential insights to guide innovation.

#5 AI is the New UI: By 2024, AI in India will become the new user interface by redefining user experiences where over 20% of user touches will be augmented by computer vision, speech, natural language, and AR/VR.

#6 Hyper-Personalization: By 2023, 10% of customer experience applications in India will be continuously hyper-personalized by combining a variety of data and newer reinforcement learning algorithms.

#7 AI Edge Applications: By 2025, 30% of computer vision and speech recognition models in India will run on the edge (including endpoints) and feature deep learning on convolutional and recurrent neural networks.

#8 Embedded AI: By 2025, at least 50% of new enterprise application releases in India will include embedded AI functionality, but truly disruptive AI-led applications will represent only about 5% of this total.

#9 AI Accelerated Chips: In 2023, technology buyer spending on semiconductors (GPUs, FPGAs, AI ASICs, and AI ASSPs) used specifically to accelerate AI training and inferencing will reach nearly $120 million in India.

#10 AI Edge Computing: By 2024, nearly 10% of servers that process AI workloads using AI-optimized processors and coprocessors in India will be deployed at the edge.

"Artificial Intelligence in India promises to develop advanced solutions that tackle organizational challenges and speed up strategic formulation. With the increasing availability of data, AI can be effective in multiple applications across various verticals including agriculture, transportation, finance, healthcare, retail and many more. India, being the key contributor in the global startup ecosystem, will play a crucial role in discovering the benefits of AI technology across varied sectors," says Swapnil Shende, Senior Market Analyst for AI at IDC India.

These strategic predictions for the India market are presented in full in the following report: IDC FutureScape: Worldwide Artificial Intelligence 2020 Predictions India Implications (IDC #AP45727419 ) and is part of India Artificial Intelligence and Cloud Services report series

IDC FutureScape reports are used to shape IT strategy and planning for the enterprise by providing a basic framework for evaluating IT initiatives in terms of their value to business strategy now and in the foreseeable future. IDC's FutureScapes are comprised of a set of decision imperatives designed to identify a range of pending issues that CIOs and senior technology professionals will confront within the typical three- to five-year business planning cycle.

International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,100 analysts worldwide, IDC offers global, regional, and local expertise on technology and industry opportunities and trends in over 110 countries. IDC's analysis and insight helps IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly-owned subsidiary of International Data Group (IDG), the world's leading tech media, data and marketing services company. To learn more about IDC, please visit http://www.idc.com. Follow IDC on Twitter at @IDC and LinkedIn. Subscribe to the IDC Blog for industry news and insights: http://bit.ly/IDCBlog_Subscribe.

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IDC unveils Top 10 Artificial Intelligence predictions 2020 and beyond for the Indian market - TelecomTV

(Photo : silvawpius.wordpress.com)What are the causes of racial discrimination in artificial intelligence in cars? How does it happen and can it be avoided at all. Does AI really abstract or it is just a set of algorithms too.

When the first singularity called the "big bang" seeded the proto-universe with light and matter that was the first proto-matter into the universe today. What made the universe into what is it now, is the mysterious substance called "Dark matter". In the first few seconds of the big bang, it was so hot, when it cooled down dark matter settled. Gravity and the fundamental forces of the universe pulled all dark matter from heated halos that became everything in the universe.

Now, this dark matter is captured as visual imaged or as background radiation in the galaxy, we know today. Dark matter holds everything in the cosmos together, without it, there is no telling what can happen. Here are insights into what kinds of dark matter that the big bang cooked up, basically everything in the universe floats in a sea of endless dark matter. Kinds of dark matter as defined are warm, cold, and fuzzy, the reason is the scientist give these terms is to make them understandable. Most of the time, everyone gets lost in the play of concepts and terms. Let us begin now.

Factoid#1

Specialists from MIT, Princeton University, and Cambridge University have speculated that the proto-galaxies to later galaxies are not the same. This is because of whether it was a warm, cold, or fuzzy matter when they were formed. A simulation was designed to test the theory on dark matter formations.

Factoid#2

Most dark matter iscoldand does not mix with other matters.Warmis lighter and moves fast, not slow, a bit faster than cold DM. A new concept isfuzzydark matter which is ultralight bits and particles that heavier than an electron. Fuzzy dark matter is essentially heavier, and larger too.

Factoid#3

Most dark matter used to form halos around proto-galaxies yet to form were cold. If it was the fuzzy or warm kind, then galaxies will have trailing tails. Fuzzy universes might look striated, like harp strings.

Factoid#4

Light traveling in the cosmos can be very old, using a telescope that will tell if the dark matter is cold, warm, or fuzzy too. These three kinds of dark matter (DM) is about 85% in the universe today.

Factoid#5

Proving what dark matter is harder to do, and most guesses point at dark matter are cold mostly. And, this is what makes the superstructure of the universe and keeps it together like crazy glue,

Factoid#6

Fuzzy dark matter is totally different, and it acts like a wave throughout the universe. This wave-like dark matter is like to mix with other bits of matter, compared to cold dark matter. Galaxies formed from it will be significantly different from what it is now.

Factoid#7

The scientist is developinga new universal modelof what a fuzzy matter universe will be like. Using the James Webb Space Telescope, they will look back in time and see the first proto-galaxies as they were. Hopefully models by Mocz, Fialkov, Vogelsberger will be proven by then.

Related Article: Is Dark Matter Warm, Cold, or 'Fuzzy'? New Simulations Provide Intriguing Insights.

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Should Artificial Intelligence in Cars Be Programmed to Be Racism-Free? - Science Times