Over the past several years, technology has rapidly changed what enterprise analytics can do. Analytical approaches that incorporate predictive models have begun to displace merely descriptive approaches. Descriptive analytics, which continue to be valuable for many users, have evolved as well, making greater use of visual analytics and moving toward a self-service model in which nontechnical users can often develop their own analyses.
The success of enterprises with Artificial Intelligence (AI) is often tracked by looking at its adoption within organizations. Adoption is a valuable metric to track, but it doesn’t tell the whole story. AI delivers on its promise only when it generates Return on Investment (ROI).
The Swedish-made Koenigsegg Jesko Absolut is one of the fastest and most beautiful cars ever built. But it can’t be driven anywhere without fuel.
As we mark the one year anniversary of the UK’s Covid-19 lockdown, it would be an understatement to say that the retail industry has been disrupted and transformed over the past 12 months. Since the pandemic began, seismic shockwaves have rippled across the sector, with businesses forced to react to an unpredictable situation whilst taking into account ever-changing customer behaviors.
More and more tech companies have initiatives in place to support Diversity, Equity & Inclusion (DEI) work. But even as Chief Diversity Officers get hired and diversity statements make their way onto company websites, diverse representation in tech is still lagging. This representation deficit, particularly in product and engineering departments, has huge implications.
I have spent the last three years researching with Malay Upadhyay the positive and negative risks of artificial intelligence. One area in particular to be alert to is the evolution of robots to cobots. Cobots are smaller robots performing more service oriented and monotonous tasks freeing up more operator time to be able to handle more complex or creative tasks.
Robotics and automation have already transformed how certain industries work, like the auto industry.
Amazon is on track to complete the construction of its largest warehouse in Australia and the company’s first robotics fulfillment centre in the southern hemisphere before the end of the year.
The figure was published in the Annual Report on the Development of the Robot Industry in China, jointly written by HRG International Institute of Research and Innovation as well as the China Institute of Science and Technology Evaluation.
Worldwide Robot Software Industry to 2026 - Strong Penetration of Robotics Across Sectors are Driving Growth
The Robot Software market is expected to register a CAGR of 45.5% during the forecast period (2021 – 2026). Robot software is an AI-enabled system used to guide the functions the robot performs. It is a set of coded instructions which executes the functions of a robot.
Facebook announces a new AI that can automatically learn audio, textual, and visual representations from publicly available videos
In this fast-moving world, Facebook is a strong platform that continuously shows new features. Now, Facebook has taken its part in efforts in the development of machines that can learn like humans. Facebook has taken its initiative in a project called Learning from Videos.
In March 2021, Google announced that it was ending support for third-party cookies, and moving to “a more privacy first web.” Even though the move was expected within the industry and by academics, there is still confusion about the new model, and cynicism about whether it truly constitutes the kind of revolution in online privacy that Google claims.
Even the most sophisticated and finely tuned AI models couldn’t predict the long-lasting magnitude of COVID-19. Its disruption on our personal and professional lives is hard to quantify.
It’s no secret that the world has changed significantly over the last year. Almost every industry has been disrupted, forcing businesses to re-evaluate their strategies and investments.