Our society has made incredible advancements in technology, resulting in pivotal discoveries and accomplishments. We are lucky to be living in a time when science and innovation are proceeding at an increasingly rapid pace. The things we see as commonplace today were simply science-fiction just 10-20 years ago. Looking to the next decade, here are some marvelous technological advancements we can expect.
Managers can’t compete with artificial intelligence (AI) when it comes to some areas of decision-making and trust building, according to a broad new global study of workers. But rather than be viewed as an indictment of managers, the study findings can help organizations create a more human workplace, some experts say.
The study by Oracle and Future Workplace, an HR advisory and research firm in New York City, found that the growing use of AI is having a significant impact on the way employees interact with their managers. Among the study’s key findings is that 64 percent of respondents would trust a robot more than their direct manager, and 82 percent believed AI or bots could perform certain tasks better than their managers. The study surveyed 8,370 HR leaders, managers and employees across 10 countries.
Project Debater argued both for and against the benefits of artificial intelligence
An artificial intelligence has debated the dangers of AI – narrowly convincing audience members that the technology will do more good than harm.
Project Debater, a robot developed by IBM, spoke on both sides of the argument, with two human teammates for each side helping it out. Talking in a female American voice to a crowd at the University of Cambridge Union on Thursday evening, the AI gave each side’s opening statements, using arguments drawn from more than 1100 human submissions made ahead of time.
The new project is focused on building robots capable of useful, everyday tasks, like sorting recycling.
Alphabet’s X group, the R&D lab formerly known as Google X, introduced the Everyday Robot Project on Thursday.
The project comes out of Alphabet’s string of robotics acquisitions several years ago, which had been put on hold.
The new project is focused on building robots capable of useful, everyday tasks, like sorting recycling.
Alphabet’s X group said it will focus on AI-enabled robots that can be learn tasks on their own, rather than being programmed to do specific things.
Alphabet, the parent company of Google, is getting back into robotics after a first attempt several years ago fizzled. But this time the company wants to create robots with minds of their own.
IDC and Forrester issued recently their predictions for artificial intelligence (AI) in 2020 and beyond. While external “market events” may make companies cautious about AI, says Forrester, “courageous ones” will continue to invest and expand the initial “timid” steps they took in 2019.
While robots upend blue-collar factory work and trucking in the middle of the country, AI and machine learning are poised to deeply alter white-collar jobs in superstar coastal cities.
Why it matters: No one is immune to the shockwave of automation in the workplace.
“AI will be as central to the white-collar office environment as robotics has been to the production economy,” said Mark Muro, senior fellow and policy director of the Metropolitan Policy Program at the Brookings Institution. “They’ll fundamentally change what work is and what humans do. And no one gets a free pass.”
“All gone,” Forrester vice president and principal consultant Huard Smith said in describing the impact of artificial intelligence on various professions by 2030.
Machine intelligence, also known as artificial intelligence (AI) is going to have both an awesome and an unfortunate impact on our posterity. Let’s explore one possible way AI may impact the future of work, and how it may dramatically change how we train our workforce.
A brand manager needs an advertisement. So, the brand manager sends a brief to the senior art director (in-house or at an agency) and asks for something amazing to be created. On or before the deadline, the brand manager and the art director meet to review the work. The brand manager is presented with three approaches, and after a number of meetings, a number of revisions, and revelations, they agree on a final product.
This is a process that has repeated itself for more than a century, and AI is not going to stop it (today).
AI and machine learning algorithms are becoming increasingly good at predicting next actions in videos. The very best can anticipate fairly accurately where a baseball might travel after it has been pitched, or the appearance of a road miles from a starting position. To this end, a novel approach proposed by researchers at Google, the University of Michigan, and Adobe advances the state of the art with large-scale models that generate high-quality videos from only a few frames. All the more impressive, it does so without relying on techniques like optical flows (the pattern of apparent motion of objects, surfaces, or edges in a scene) or landmarks, as previous methods have.
“In this work, we investigate whether we can achieve high-quality video predictions … by just maximizing the capacity of a standard neural network,” wrote the researchers in a preprint paper describing their work. “To the best of our knowledge, this work is the first to perform a thorough investigation on the effect of capacity increases for video prediction.”
Even though banking and financial services have been slower than other industries to adopt the latest technology into their operations, financial organizations are trying to catch up by incorporating artificial intelligence, blockchain, and other technology to benefit their customers, remain competitive and improve business results. Here are the 7 biggest technology trends that will disrupt banking and financial services in 2020.
IDC released today its worldwide IT industry predictions for 2020 in a webcast with Frank Gens, IDC’s senior vice president and chief analyst.
The focus for the 10 predictions for next year and beyond is the rise of the digital economy. By 2023, IDC predicts, over half (52%) of global GDP will be accounted for by digitally transformed enterprises. This digital tipping point heralds the emergence of a new enterprise species, the digital-first enterprise.
To drive digital supremacy, an enterprise must devote half of its budget to supporting digital innovation, establishing a large-scale, high-performing, digital innovation factories and a third-party ecosystem to produce digital products and provide fee-based wholesale digital services to other enterprise. The latter will be an entire new enterprise competency, similar to the management of Amazon’s platform for third-party sellers. IT resources will continue their migration to the cloud (and multi-clouds) and there will be heavy investment in automation and orchestration systems, using artificial intelligence and machine learning.
The “Father of Artificial Intelligence” Says Singularity Is 30 Years Away
All evidence points to the fact that the singularity is coming (regardless of which futurist you believe).
You’ve probably been told that the singularity is coming. It is that long-awaited point in time — likely, a point in our very near future — when advances in artificial intelligence lead to the creation of a machine (a technological form of life?) smarter than humans.
If Ray Kurzweil is to be believed, the singularity will happen in 2045. If we throw our hats in with Louis Rosenberg, then the day will be arriving a little sooner, likely sometime in 2030. MIT’s Patrick Winston would have you believe that it will likely be a little closer to Kurzweil’s prediction, though he puts the date at 2040, specifically.