Ai: Irl

Manufacturing has long had robots carrying out certain tasks — but those robots require a high amount of inputs on the front end. Then, once those inputs are created, the robots are "stuck" in that position. Throw off the temperature of the manufacturing floor, the orientation of an object, or any other small detail, and that robot has very little ability to respond. But now, with advanced robotics, at least one company is trying to create more aware robots that can respond to their environment. On this episode, Costas Boulis joined us to share how Bright Machines is reinventing manufacturing with advanced robotics Costas is the Chief Scientist at Bright Machines, and was previously an Applied Scientist at Amazon and a Data Scientist for Microsoft, among other advanced science positions. He has a PhD in Electrical Engineering, and received scholar positions at both John Hopkins and Stanford. What we talked about: Industrial manufacturing IIOT AI, robotics, and the future of industrial manufacturing This di

Typically, we feed our AI invented datasets that don't represent real life situations and scenarios. These models are preparing AI for an unrealistic environment that doesn't work IRL. But James Dean is changing models at his company, SenSat. They're using breakthroughs in camera and inexpensive drone technology to capture real geographies. They layer these geographies with everyday obstacles — like people, temperature, lighting — to develop models that replicate real life geographies, creating what James calls "digital twins." James came on this episode of AI:IRL to tell us all about how he's creating "a SimCity of the real world." What we talked about: AI models 3D Geographies 3D Geometries  Digital twins LIDAR Large datasets How AI is impacting the construction industry AI in the infrastructure industry This discussion with James Dean was taken from our AI: In Real Life podcast. If you want to hear more AI episodes like this one, check us out on Apple Podcasts here.  

A picture's worth a thousand words. So, why wouldn't retailers want shoppers using an image search instead of a keyword search? The thing is… they do. And one company called ViSenze is making it possible. On the latest episode of AI: IRL, I speak with Oliver Tan, co-founder and CEO of ViSenze. We discuss: How an image search engine can work for apparel shopping Data on how shoppers have responded to AI visuals Digital experiences that transcend online shopping   Resources: Visual Search - Why Retailers Should Care   To listen to our other episodes, check us out on Apple Podcasts. Or if you don't use Apple Podcasts, you can also find every episode here.

It's that time of year — getting ready for 2020. By checking your AI for biases. We think we're getting better insights out of AI, but in reality biases are lurking behind the scenes. On this episode, I interview Vasco Pedro, CEO and Co-Founder at Unbabel, about what organizations can do to recognize biases in AI. What we talked about: Understanding the origin of bias (biased data from biased humans) Mitigating the risk of bias with 3 strategies Questions you need to ask to get ready for 2020 ...and why 2025 is a big deadline   This discussion with Vasco Pedro was taken from our AI: In Real Life. If you want to hear more AI episodes like this one, check us out on Apple Podcasts here. If you don't use Apple Podcasts, you can find every episode here.

At first blush, you may think that AI doesn't have many cultural aspects, that it's all technology, whereas AI is directly informed by our familial, regional, national, and historical cultures.   On this episode, I got to talk with Davar Ardalan, Founder at IVOW AI, about AI-driven cultural content and why it's such a relevant issue.   What we talked about: The opportunity for culturally intelligent AI Why AIs need cultural intelligence and how to give it to them. The need for diverse AI designers and diverse AI data Using AI to tell cultural stories   Check out these resources we mentioned during the podcast: Aprajita Mathur at the Test Masters Academy leadership congress The Plug and Play Tech Center playbook   This discussion with Davar Ardalan was taken from our AI: In Real Life. If you want to hear more AI episodes like this one, check us out on Apple Podcasts here.   If you don't use Apple Podcasts, you can find every episode here.

In the discussion of AI, we don't talk about taking a user-centric approach nearly enough. We need to be asking: Are we delivering a better user experience through AI? On this episode, I interview Chris Butler, Chief Product Architect at IPsoft: What we talked about: The right way to approach design Getting more people involved in the design conversation User-centric design questions How AI helps identify biases for better decision making This discussion with Chris Butler was taken from our AI: In Real Life. If you want to hear more AI episodes like this one, check us out on Apple Podcasts here. If you don't use Apple Podcasts, you can also find every episode here.

There always seems to be a fear with A.I. that somehow the world will become too automated and mechanistic. That somehow we will forget what it means to be a human being in all the mess of technology and innovation we're seeing. However, this couldn't be further from the truth! On this week's episode we talk with Neil Sahota, Lecturer at the University of California Irvine, about the incredible social effects that A.I. and machine learning are having. A.I. is allowing for customization of individual user experience at a massive scale, which will make the world more personal than it's ever been before. We cover: A.I. Is Becoming Your Best Friend and Personal Shopper A.I. Is Learning How to Motivate You A.I. Is Freeing You to Spend More Time Investing in Relationships Checkout these resources we mentioned during the podcast: "Own the A.I. Revolution: Unlock Your Artificial Intelligence Strategy to Disrupt Your Competition". Neil Sahota www.neilsahota.com This discussion with Neil Sahota was taken from our

Any industrial operation's success comes down to efficiency. If manufacturers or contractors can get more efficient, then they can increase production while maintaining cost to the consumer, therefore driving up profit margins! Today we're looking at some exciting ways that A.I. is changing the way companies are approaching machine learning and manufacturing. My guest today was Nikunj Mehta, PHd. He is the founder and CEO of Falkonry.  On this episode, we discussed how Falkonry is using A.I. to increase an industrial operations company's profitability: They are making manufacturers more efficient. They are helping companies apply machine learning. They are making A.I. accessible to domain experts. Checkout these resources: Nikunj Mehta Bold 360 Blog

When it comes to AI, one space that's not really talked about enough is the world of consumer science.  So, on this episode of AI:IRL, we're joined by Dr. John Ennis. As a market research consultant focused on sensory and consumer science, Dr. Ennis has a really great perspective to share on how we can leverage AI to really benefit the consumer science space. What we talked about: The world of consumer science How they're using AI to create better consumer experiences The benefits of using AI over humans to generate these results Resources we talked about: John's LinkedIn Aigora To listen to our other episodes, check us out on Apple Podcasts. Or if you don't use Apple Podcasts, you can also find every episode here.

I've always been an advocate of time management. It's the best way to make sure you actually get things done.  Well, today's AI:IRL guest co-founded a startup, TimeHero, that's taking time management to the next level. Scott Brooks joined me on the show to talk about how he's bringing AI to the world of calendar management. What we talked about: The problem we're facing with time management today How TimeHero is attacking this problem How they're leveraging AI to do it Resources we talked about: Scott's LinkedIn TimeHero

The world of customer conversion is complex. It has a lot of data inputs, a lot of unknowns. But there's a lot of interest in using AI to drive customer conversion and there are some really exciting use cases out there.  So, I'm excited for today's episode of AI:IRL, where Stephanie Plunkett, Senior Principal Scientist at Altria, joined me to talk about how AI can really transform customer conversion within your business. What we talked about: How AI can help drive customer conversion How leveraging AI helped Altria increase conversion rates The benefits of using AI in this way Resources we talked about: Stephanie's LinkedIn Altria

People get excited about AI. But a lot of times, they get lost in the hype. So, on this episode of AI:IRl, Guy Zipori joined me to talk through what's hype and what's reality. He also talked about some things we need to keep in mind when it comes to AI and how you can determine if AI is right for your business. Guy is a serial entrepreneur on his third startup, Skyline AI. And with a background in tech, he's been living in this world of big data, machine learning, and AI, through a number of generations of this tech.  What we talked about: AI vs. the A-Try Why we're not asking the right questions when it comes to leveraging AI How to determine whether AI is right for your company   Resources we talked about: Guy's LinkedIn Skyline AI

When people think about AI, there's often a lot of fear, uncertainty, and doubt that comes up. We wonder whether the technology will replace human jobs or what's our role in the development of AI. But we don't really talk about these things. That's why I'm so excited about this episode of AI:IRL. Prayag Narula joined me to flesh out the human role in the development, management, and utilization of AI. We also talked about the impact AI will have on humans — will it really take over our jobs?  Prayag is the Founder of LeadGenius, a demand generation automation company that uses a combination of data mining, tech, and crowdsourcing to automation and accelerate outbound sales and marketing. 

Did you know that each year farmers lose about 35% of their production to pests, like insects, weeds, and crop disease? Increasing that yield by just 2% would be life changing — in terms of profit for the farmer but also in terms of global food security.  Yet those fields have the potential to produce 35% more. Imagine the difference that would make. 35%. That's what's on the mind of Ofir Shlam and his team at Taranis. On this episode of AI:IRL, I sat down with Ofir to look at another way AI is changing lives. We talked about Taranis is applying AI to increase crop yields in agriculture, the framework they used to do that, and how this application of AI will make a positive impact around the world. 

Often times, people get caught up in technology for technology's sake. But we should really be using technology more strategically to help us do one thing: make better decisions. With 25 years of experience, Gary Saarenvirta, Founder and CEO of Daisy Intelligence, is an expert at doing exactly that — implementing technology to help companies make better decisions. Daisy is focused on delivering AI powered technology that helps retailers make decisions that drive higher sales and profits. Gary came on the latest episode of AI:IRL to talk about the work he's doing at Daisy, how you can leverage AI to make better decisions, and why we should view AI as augmenting human capabilities instead of replacing them.  

You only need to look at the media or read a news report to see that the retail industry is facing challenging times. There are big things about store closures, bankruptcy, etc.  But these challenging times bring plenty of opportunity, as well. Retailers must step up and focus on serving customers in an exquisite way. And with the rise of technology and things like AI, there is that opportunity to serve customers better than ever before.  On this episode of AI: IRL Oliver Banks joins me to talk about how retailers can think strategically about the digital transformation to create the best possible customer experience. 

It's usually completely obvious when you're speaking to an AI, right? Actually, that's exactly the way it ought to be. I got to talk to Arjun Pillai, Founder & CEO at Insent.ai, about transforming engagement with prospects and customers through conversational AI. Within standard AI, Arjun is building a B2B conversational marketing platform that will enable marketing and sales to engage one-to-one with their prospects and give them a very personalized real-time experience supported by AI. "We are not trying to camouflage the bot as a human," Arjun said. To learn how conversational AI will connect humans to humans in real time, listen to the podcast.  

This week's episode is a followup to the excitement of the VentureBeat Transform conference in San Francisco. The discussion continues the discourse on how AI technology and humans can work together to create a new way to transform our world.  Today's guest, Amit Ben, who is the head of AI at LogMein, dives into the historical relationship between humans and technology. Citing the first typewriter, he explains that adapting humans to technology has been the status quo for decades. However, with the influx of AI capabilities, that's all about to change. 

We often touch on the opportunity to leverage AI to create a better user experience.  So, on this episode of AI:IRL, I invited Vittorio Banfi, a great subject-matter expert, to add to that conversation. Vittorio brings an interesting perspective on the mix of user interface and user design. Vittorio talked about his company, Botsociety, and how it came to be. He also shared two great points to keep in mind as you start experimenting with AI solutions in your own company. 

During our CXNext Event in Boston I had the chance to sit down with Mariya Yao, CTO at Metamaven and Founder of TOPBOTS. She had just given an excellent presentation, so I wanted to invite her onto the AI:IRL podcast to talk a little bit more about AI. In this episode, Mariya talks about what executives need to know to begin tackling machine learning.