Home care is often singled out for being slow to embrace and implement technology, but as the demand for care services grows, providers are forced to think outside of the box when it comes curbing caregiver turnover. San Francisco-based home care startup Honor understands this all too well, according to CEO Seth Sternberg. The company is using insights gleaned from machine learning to examine and address turnover internally and with its network of home care partners. Honor, which has raised $115 million since launching in 2014, teams up with independently owned and operated agencies by taking over caregiver recruiting, onboarding and training, in addition to day-to-day logistics. Currently, the company operates in Arizona, California, New Mexico and Texas.

Use this information to train machine-learning classifiers to recognize relevant text and social media data. Jump into data using an interactive word CloudExplorer or build a mini topic dictionary using "defined" search.

Chief Conversologist Jam Mayer talks to Hillary Black about the daily life and challenges of a conversation designer, essential tools, techniques and insights, and even tips on how to get started as one.

As AI moves increasingly into actual commercial use, the leading nations are positioning themselves to standardize the field to their own advantage. This includes everything from minute technical standards to procedures for removing bias from algorithms. Countries and companies have a lot to gain from leaving a mark on the process. Beijing got out of the starting gate first: Last year, China published a detailed report focused on ethical norms and technical standards that are meant to allow companies to work together more easily. A few months later, Beijing hosted the first major international meeting on AI standards.

As the size of SSDs grows, the need to do more processing inside of drives is also growing. Compute in storage is being used to deal with latency and power issues associated with moving large amounts of data and extending drive life while increasing reliability. In the past, data was moved from a drive to a compute device for processing. In enterprise systems, the data had to be transferred across multiple interfaces and protocols. Not only does this take time and increase latency but it also burns power.

Upon hearing the phrase "Rise of the Machines," many people's first instinct would be to think of a sci-fi apocalyptic movie, using the common trope of AI taking over the world as we know it. It's an overwhelming idea, to say the least, but the truth of the matter is that we truly are in the age of machines! The question is, are we ready to tackle all the issues that come hand in hand with progress and innovation? As with any kind of technological advancement developing at exponential rates, we have to try to stay one step ahead of the game, which is becoming increasingly difficult. There is a lot that we stand to gain from the usage of Big Data and AI, but at what cost?

Machine learning, machine intelligence, thinking machine, electronic brain – whatever you want to call it, artificial intelligence is here to stay. Although, machines haven't completely taken over, they have slowly but surely crept into our lives affecting the way we live, communicate and ultimately work. From voice-driven assistance on a mobile phone, suggestive searches to autonomous driverless cars, we will continue to see fast-evolving technologies in the coming years. At ACCA we have a deep interest in how technology impacts the accountancy profession and how it will continue to do so in the future. This year will see the 30th anniversary of the worldwide web – meaning we are firmly part of the digital revolution; technology is something accountants cannot shy away from or avoid.

Sorry, science fiction fans, but the "replicants" of the Blade Runner saga or the "terminators" of the eponymous action movie franchise are not on the horizon. "Don't imagine human-like, humanoid robots when you think of the future of robots," said Kim Sang-bae, the world-renowned robot scientist who developed a four-legged walking robot called "Cheetah," which has gained widespread media exposure. Not only is it impossible to develop human-like robots now, it may remain impossible in the future, according to Kim, a mechanical engineering professor at the Massachusetts Institute of Technology. While the ultimate stage of robotics may, indeed, be creating machines that can think and work on their own, there is a yawning gap between where robot technologies stand now and that final-stage development. In an interview with Asia Times, Kim predicted that the robot industry would continue to expand by creating robots which can do very specific things better than humans.

Many may not know this but Dr. Fatmah Baothman is the first woman in Saudi Arabia and the Middle East to hold a PhD in Modern Artificial Intelligence (AI), a milestone for the entire region and definitely a proud achievement for the Kingdom. This week, the Middle East's first female specialist in AI has been awarded the first-ever Women AI Award, which was announced at the VB AI Summit Transform 2019 in San Francisco, United States, according to Saudi Gazette. According to the award's website, this first-of-its-kind award aims to honor changemakers in the field, women leaders paving the way in rethinking process, policy, technology, and education as AI advances. Dr. Baothman was awarded under the category AI Research, which honors a woman whose research in AI has made a significant impact by helping accelerate progress within her organization, as part of academic research, or by influencing approaches to AI technology. As reported by the news site, Dr. Baothman expressed her gratitude in receiving such a global honor and for the recognition women in AI are receiving for their accomplishments.

"How do we bring the'Amazon effect' into our organization?" Amazon is changing how consumers view the world; procurement professionals cannot afford to ignore consumers' perceptions of how simple business-to-business (B2B) interactions should now be. In our Procurement As-a-Service Blueprint, we use the term'Amazon-effect' to describe a move to simple, seamless, digital buying experiences, with procurement becoming more user-focused, driven by more technology and changed user expectations. 'Amazonification' is one of the five driving forces in the transformation of procurement: 'Amazonification' driven by the "Triple-A Trifecta" of automation, artificial intelligence (AI) and analytics Cloud-based platforms Partnership ecosystems Sourcing and category management talent Blockchain or distributed ledger technologies (DLT) 'Amazonification' driven by the "Triple-A Trifecta" of automation, artificial intelligence (AI) and analytics Amazon has created a de-facto standard for purchasing experiences: simple, easy and accommodating to the user. Many people wonder why buying at work should be so different from buying as a consumer.