Let's start with a game. Open up your chatbot of choice--Claude, ChatGPT, Gemini--and type "Give me a random number between 1 and 10." You're going to get 7. Almost always. Now type "Another" and you'll get 3 or 4. Type "Another" again and you'll get 8 or 9. That won't work every time--but if it did for you, you may wonder if I have superpowers.

Dr. Anthony Mazzarelli, the CEO of Cooper University Health Care in New Jersey and an ER physician as well, spoke with Fox News Digital about how Nuance's AI tool is helping physicians focus more on patients and less on paperwork. Doctors in the U.S. spend an average of 1.84 hours per day completing electronic notes outside their regular work hours, recent studies have shown -- and 57% of them said documentation takes away from the time they can spend with patients. Aiming to change that, Nuance -- a Microsoft-owned artificial intelligence company in Massachusetts -- has created an AI tool for physicians called DAX, which streamlines the note-taking process. At Cooper University Health Care in New Jersey, doctors who are already using the tool have reported improved patient outcomes, greater efficiency and reduced costs. AI TOOL GIVES DOCTORS PERSONALIZED ALZHEIMER'S TREATMENT PLANS FOR DEMENTIA PATIENTS "For our physicians who use DAX more than half the time, they have seen a 43% reduction of the time they spend writing notes and an overall 21% reduction in the amount of time they spend in the electronic medical record," said Dr. Anthony Mazzarelli, the CEO of Cooper, which employs 150 physicians.

In the last three years, financial regulators worldwide have been actively highlighting the need for responsible use of Artificial Intelligence/ Machine Learning (AI/ML). What have they been saying? What common underlying concerns and regulatory themes are emerging? What can the industry expect in the coming years, and how can it start responding now? To date, no major financial regulator has introduced explicit regulations dedicated to the use of AI/ML.

In a world where it seems like the next big thing is just'round the corner every day, there's comfort in holding on to the old way of doing things. It's part of the human condition, and history is littered with examples of people who weren't able to recognize--or capitalize on--trends and events as they happened. Lightbulbs, bicycles, and laptops are but a few of these once-misunderstood tech inventions. Just a few years ago it was even considered ludicrous for the internet to be used for ecommerce. This is also where we believe digital marketing finds itself today--on the cusp of something new that's about to overhaul traditional processes, manual data-crunching, and tedious testing by partnering up with artificial intelligence and machine learning.

Editor's note: This article is based on a roundtable discussion sponsored by Optum. The full report of the roundtable discussion, Strategy: The Key Factor in the Future of Healthcare Innovation, is available as a free download. Innovation is paving the way for hospitals and healthcare systems to move into the future and truly change healthcare delivery. While solutions featuring artificial intelligence, robotic process automation, and natural language processing are fueling advances, healthcare innovation is more than a technology play. Effective transformation requires formulating new strategies for payment, reimagining models of care, applying real-time data, and addressing social determinants of health.

Basis Technologies, innovators of the most complete automation platform for DevOps and testing engineered specifically for SAP, announced that David Lees has joined the company as Chief Strategy Officer. In this role he will work with the executive management team to execute the company's global expansion strategy and drive the continued adoption of its market-leading SAP automation. David joins the company from Procter & Gamble where most recently he held the role of SAP Supply Chain (S/4HANA) Platform Transformation Leader. David brings with him more than 20 years of SAP domain experience and has been highly successful across a wide range of roles during his career at P&G. He was responsible for leading many of the company's major IT transformations, including initiatives around application management, system and corporate restructuring projects, a move to SAP ECC and recently to S/4HANA.

Summary: Here are our 6 predictions for data science, machine learning, and AI for 2018. Some are fast track and potentially disruptive, some take the hype off over blown claims and set realistic expectations for the coming year. It's that time of year again when we do a look back in order to offer a look forward. What trends will speed up, what things will actually happen, and what things won't in the coming year for data science, machine learning, and AI. We've been watching and reporting on these trends all year and we scoured the web and some of our professional contacts to find out what others are thinking.

February 9, 2016 -- Apcera, the leader in enterprise container management, today announced its presence at GigaOm AI, taking place February 15-16 in San Francisco. Mark Thiele, Apcera's chief strategy officer, will be moderating an industry panel titled, "Customer Experiences in AI," to be held on Thursday, February 16. The panel will also feature executives from Comcast, Cybric and Talla. Thiele is a globally recognized speaker and visionary on the topics of AI, cloud, IoT, data center, DevOps and IT leadership. Connect with Apcera at GigaOm AI To schedule one-on-one meetings with Apcera at the event, send email to press@apcera.com.

Artificial intelligence is growing fast. Recent research puts it as a $5 billion market by 2020, and Gartner estimates that 6 billion connected "things" will require AI support by 2018. Connected machines, wearables, and other business tools like voice assistants are already boosting productivity at work and at home. Two reports just surfaced that tackle the troubling predictions that automation, artificial intelligence, and robots are going to supplant human workers. The McKinsey Global Institute and Glassdoor research indicates that we don't have to worry that we humans will become obsolete.

A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, which can process our conversational commands and orchestrate the outcomes we request across our personal and professional realm of connected devices. Dion Hinchcliffe, Chief Strategy Officer at 7Summits, discussed how far from being part of the near future, "conversational things" is arriving now and explored with real-world examples.