Deloitte has launched the Deloitte Center for AI Computing, designed to accelerate the development of artificial intelligence offerings for its clients. The center is built on NVIDIA's DGX A100 systems to create a supercomputing architecture that will help Deloitte's clients in their efforts to become AI-fueled organizations. The accelerated computing platforms feature NVIDIA graphics processing unit technology, along with its networking and software for advanced data processing, analytics and AI by bringing massive parallel processing capability and speed to deep learning, machine learning and data science workloads, the company said. Deloitte's State of AI in the Enterprise survey found that more than half of respondents reported spending more than $20 million over the past year on AI technology and talent. Nearly all adopters said they were using AI to improve efficiency, while mature adopters are also harnessing the technologies to boost differentiation.
There has been a rapid increase in the adoption and development of artificial intelligence across the globe. Business platforms are depending on AI for better growth, efficiency, and digital transformation. Cutting-edge technologies like 5G will escalate the use cases of AI across industries. According to McKinsey Global Survey 2020, 50% of respondents reported that their companies have adopted AI in at least one business function. The global leaders in AI adoption, research, and development include Asian countries like China, Singapore, and Japan.
If achieving the intelligent enterprise were easy, everyone would have done it by now. The road to creating, or re-creating, a business optimized by AI to take advantage of machine-assisted decision-making at all levels of the organization is a long one. Two key questions are, how far along are we on the path toward achieving this vision of future productivity, and are there ways organizations can improve their odds of success? Companies are now directing billions of dollars globally each year toward AI development, yet more often than not, they're frustrated by the lack of progress. In fact, only 1 in 10 managers who responded to a recent global survey conducted by MIT SMR and BCG could point to tangible returns.
Research Tech (ResTech) offers a great avenue to apply AI and Machine Learning the modern context of doing business. As businesses across industries face an uncertain 2021, one thing remains clear: a constantly-shifting public health and economic landscape will affect everything from customers' purchasing decisions, to their likes and dislikes about the products and services they use. Companies looking for more effective ways to keep their finger on the pulse of their customers in 2021 must look beyond multiple-choice survey responses or numerical scores. Instead, they should focus on collecting open-ended survey responses to understand what their customers are saying in their own words--complete with slang, emojis, and misspellings--if they want to truly understand what their customers are thinking. For decades, analyzing these open-ended responses has been a tedious process, with researchers reading and tagging each response to count concepts to quantify concerns and identify representative verbatims.
The idea that gamers are antisocial grumps who stay up all night eating junk food while playing Call of Duty in their mother's basement is woefully outdated. According to a new survey, about half of all gamers admit they've been playing more since the pandemic started, but nearly three-quarters use it to socialize. Only ten percent of respondents said they munched on junk while gaming, compared to the 37 percent who don't eat at all while playing. Nearly half of respondents kept their gaming to between 8pm and midnight, while just seven percent burned the midnight oil. UK game developer Jagex first came on the scene in 2001 with RuneScape, a popular fantasy massively multiplayer online roleplaying game (MMORPG).
Einride, a Swedish technology company that develops and provides freight transport solutions based on electric and autonomous vehicles, released today the results of a survey conducted with OnePoll on the state of the trucking industry. The survey examines the sentiments of American respondents around the intersection of artificial intelligence and industry-wide employment. According to Deloitte Insights, over 37 percent of organizations have reported deploying AI solutions – up 270 percent from four years ago. Analysts forecast global AI spending will more than double over the next three years, topping $79 billion by 2022. In conjunction with this growth, is the impact AI is having on employees.
Quantum computers offer great promise for cryptography and optimization problems. ZDNet explores what quantum computers will and won't be able to do, and the challenges we still face. In 1936, some 2.4 million members of the Literary Digest magazine's mailing list responded to its publisher by mail, in the broadest presidential candidates' opinion poll conducted in the United States to that time. By a margin of 57 to 43, those readers reported they favored the Republican governor of Kansas, Alf Landon, over the incumbent Democrat, Franklin D. Roosevelt. The week after the election, the magazine's cover announced in bold, black letters the message, "Is Our Face Red!" Also: Could quantum computers fix political polls? The following January, Oxford University's Public Opinion Quarterly published an essay that examined how a seemingly much smaller survey of only 50,000 participants, conducted by a fellow named George Gallup, yielded a far more accurate result than did Literary Digest. Gallup's poll was "scientific," and Oxford wanted to explain what that meant, and why opinion polling deserved that lofty moniker. For the first time, the Oxford publication explained a concept called selection bias. Specifically, if you don't ask people for enough facts about themselves, you never attain the information you need to estimate whether the people around them think and act in similar ways.
It would be the harbinger of an entirely new medium of calculation, harnessing the powers of subatomic particles to obliterate the barriers of time in solving incalculable problems. You and I are being continually surveyed. We reveal information about ourselves with astonishingly little resistance. Social media has made many of us into veritable slot machines for our own personal data. We're fed a little token of encouragement that someone may yet like us, our arm is gently pulled, and we disgorge something we hope people will find valuable enough for commencing small talk. What personal facts, real or trivial, we do end up disclosing -- perhaps unwittingly -- immediately undergo unceasing analysis. The inferences these analyses draw about us as people are being aggregated, baselined, composited, deliberated, and profiled.
AI is in nearly every application nowadays. A frequently cited IDC statistic has 75% of commercial enterprise apps using AI by 2021. And as AI has become more prevalent, the C-suite has taken a bigger role in AI strategies and implementations. In recent industry survey, 71% of respondents said that their company's AI projects are "owned" by C-level executives. Yet, even with C-level involvement, many organizations' efforts with AI are falling short.