Right this moment's main minds discuss AI with host Byron Reese Hearken to this episode or learn the total transcript at www.VoicesinAI.com Byron Reese: That is Voices in AI dropped at you by GigaOm, and I'm Byron Reese. Right this moment our visitor is Steve Durbin. His principal areas of focus embody technique, info know-how, cybersecurity and the rising safety risk panorama throughout the company and private surroundings. He runs his firm because the managing director, which he has been doing for nearly a decade. Welcome to the present, Steve.

At Gigaom.com/quiz, there is a ten question test that scores how likely any given job is to be replaced by automation, be it by a computer or a robot. I'm going to spend ten AI Minutes going through the questions one at a time, and why they're on the test. Question #4: How long is the training for the job? You might score this as 0, which is less likely to be automated, if the training is months or years; that might be a dental hygienist, or an auto mechanic, or a locksmith. On the other hand, you might score this a ten, which is more likely to be automated, for something like a job that requires just a very minimal amount of training, like a custodian.

Supervised learning outputs typically have one of two forms. Regression outputs are real-valued numbers that exist in a continuous space. For instance, many of Vidora's eCommerce customers want to forecast how much money each customer is likely to spend, so that high-value customer may be targeted with personalized promotional offers. A simple linear regression structures this problem through the familiar formula y mx b, where y is predicted expenditure and x is some attribute of each customer -- say, number of site visits. During training, we supply labeled input-output pairs -- i.e. customers for which transaction history is already known -- and the algorithm finds the optimal parameters m and b to make this relationship as accurate as possible.

Forbes: How AI can transform businesses 2. GigaOm's "Voices in AI" podcast features AI luminaries 3. NVIDIA's Inception Program for AI startups adds 2,000th member 4. NVIDIA teaches the world about deep learning in finance through workshops 5. What AI can accomplish right now – and the silicon powering it all 5. HOW ARTIFICIAL INTELLIGENCE CAN TRANSFORM BUSINESSES A question originally asked on Quora, Forbes shares the leading answer by Tony Paikeday, product marketing director at NVIDIA. After providing several examples of businesses across industries who are already using AI, he shares the quickest method to adopting AI: "The fastest way to accelerate AI for business is leveraging powerful and energy-efficient GPUs. READ ARTICLE 6. GIGAOM'S "VOICES IN AI" PODCAST FEATURES AI LUMINARIES GigaOm's "Voices in AI" podcast debuted this month, featuring episodes with leading researchers and AI luminaries – including NVIDIA's Bryan Catanzaro. In episode 13, Bryan focuses on AI and the future of work: "I like to think about artificial intelligence as making tools that can perform intellectual work. LISTEN TO PODCAST 7. NVIDIA'S INCEPTION PROGRAM FOR AI STARTUPS ADDS 2,000TH MEMBER Less than 18 months after its launch, NVIDIA's Inception program -- which helps accelerate startups pushing the frontiers of AI and data science -- has signed up its 2,000th member company.

Gigaom, the leader in emerging technology research, today announced that it is holding its first annual competition for the AI start-up that delivers the highest ROI to corporate customers. The GAIN competition coincides with the annual conference Gigaom AI Now held in San Francisco, CA, February 15-16th 2017. AI startups are leading the way for bringing positive impacts of AI to many of the world's long-term challenges. "Record number of investments are being made in early stage AI start-ups. The competition will identify which new ventures can deliver the highest ROI to businesses today," explained David Hehman, Gigaom's Start-up & VC editor.

Rob May is the CEO and Co-Founder of Talla, a platform for intelligent information delivery in Slack and Hipchat. Previously, Rob was the CEO and Co-Founder of Backupify, (acquired by Datto in 2014). Before that, he held engineering, business development, and management positions at various startups. Rob has a B.S. in Electrical Engineering and a MBA from the University of Kentucky. He is also a well known angel investor, a venture partner at Pillar, and is the creator and writer of the widely-read and highly-regarded AI newsletter, Technically Sentient. Rob May will be speaking at the Gigaom AI Now in San Francisco, February 15-16th. In anticipation of that, I caught up with him to ask a few questions.

Gigaom, the leader in emerging technology research, today announced that it will host its annual conference Gigaom AI Now in San Francisco, CA, February 15-16th. The one-and-a-half day conference, held at the Golden Gate Club, will share how companies are using AI today to drive significant ROI across every aspect of business, from administration to product development, sales and marketing, and customer experience. Attendees at this event will learn from world-leading practitioners how today's progressive businesses are applying the most innovative AI tools, platforms, and technologies in-house to drive revenue and improve operations across the enterprise. "In the last couple of years, AI has become the technology no enterprise can afford to ignore. It will change every department in almost every business. We have designed this event to focus entirely on how enterprises can use AI right now to improve their business in substantial ways," shared Gigaom Publisher, Byron Reese.

Gigaom, the leader in emerging technology research, today announced that it will host its annual conference Gigaom AI Now in San Francisco, CA, February 15-16th. The one-and-a-half day conference, held at the Golden Gate Club, will share how companies are using AI today to drive significant ROI across every aspect of business, from administration to product development, sales and marketing, and customer experience. Attendees at this event will learn from world-leading practitioners how today's progressive businesses are applying the most innovative AI tools, platforms, and technologies in-house to drive revenue and improve operations across the enterprise. "In the last couple of years, AI has become the technology no enterprise can afford to ignore. It will change every department in almost every business. We have designed this event to focus entirely on how enterprises can use AI right now to improve their business in substantial ways," shared Gigaom Publisher, Byron Reese.

Rob May is the CEO and Co-Founder of Talla, a platform for intelligent information delivery in Slack and Hipchat. Previously, Rob was the CEO and Co-Founder of Backupify, (acquired by Datto in 2014). Before that, he held engineering, business development, and management positions at various startups. Rob has a B.S. in Electrical Engineering and a MBA from the University of Kentucky. He is also a well-known angel investor in the AI space and is the creator and writer of the widely-read and highly-regarded AI newsletter, Technically Sentient. Rob May will be speaking at the Gigaom AI Now in San Francisco, February 15-16th. In anticipation of that, I caught up with him to ask a few questions.

Computational linguists and computer scientists, among them University of Texas professor Jason Baldridge, have been working for over fifty years toward algorithmic understanding of human language. They are, however, doing a pretty good job with important tasks such as entity recognition, relation extraction, topic modeling, and summarization. These tasks are accomplished via natural language processing (NLP) technologies, implementing linguistic, statistical, and machine learning methods. Voice response and personal assistants -- Siri, Google Now, Microsoft Cortana, Amazon Alexa -- rely on NLP to interpret requests and formulate appropriate responses. Search and recommendation engines apply NLP, as do applications ranging from pharmaceutical drug discovery to national security counter-terrorism systems.