AI and ML are enabling a new paradigm for deploying truly transformational data projects. By leveraging voluminous real-time information and new algorithms, there is a promise of better and more efficient decision making and processes. Join this session, led by two data titans, DataRobot's CEO, Jeremy Achin and Tamr's CEO, Andy Palmer. Together they will discuss why AI and ML should have a front row seat in your next data project and what are the most critical best practices to establish the right technology, people and processes to drive project and mission success.

Kay Firth-Butterfield was teaching AI, ethics, law, and international relations when a chance meeting on an airplane landed her a job as chief AI ethics officer. In 2017, Kay became head of AI and machine learning at the World Economic Forum, where her team develops tools and on-the-ground programs to improve AI understanding and governance across the globe. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we're offering a free download of MIT SMR's best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Kay Firth-Butterfield is head of AI and machine learning and a member of the executive committee of the World Economic Forum. In the United Kingdom, she is a barrister with Doughty Street Chambers and has worked as a mediator, arbitrator, part-time judge, business owner, and professor. She is vice chair of the IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems and serves on the Polaris Council of the U.S. Government Accountability Office advising on AI. In the final episode of the first season of the Me, Myself, and AI podcast, Kay joins cohosts Sam Ransbotham and Shervin Khodabandeh to discuss the democratization of AI, the values of good governance and ethics in technology, and the importance of having people understand the technology across their organizations -- and society.

Storytelling plays a central role in human socializing and entertainment. However, much of the research on automatic storytelling generation assumes that stories will be generated by an agent without any human interaction. In this paper, we introduce the task of collaborative storytelling, where an artificial intelligence agent and a person collaborate to create a unique story by taking turns adding to it. We present a collaborative storytelling system which works with a human storyteller to create a story by generating new utterances based on the story so far. We constructed the storytelling system by tuning a publicly-available large scale language model on a dataset of writing prompts and their accompanying fictional works. We identify generating sufficiently human-like utterances to be an important technical issue and propose a sample-and-rank approach to improve utterance quality. Quantitative evaluation shows that our approach outperforms a baseline, and we present qualitative evaluation of our system's capabilities.

A solar-powered autonomous drone scans for forest fires. A surgeon first operates on a digital heart before she picks up a scalpel. A global community bands together to print personal protection equipment to fight a pandemic. "The future is now," says Frédéric Vacher, head of innovation at Dassault Systèmes. And all of this is possible with cloud computing, artificial intelligence (AI), and a virtual 3D design shop, or as Dassault calls it, the 3DEXPERIENCE innovation lab. This open innovation laboratory embraces the concept of the social enterprise and merges collective intelligence with a cross-collaborative approach by building what Vacher calls "communities of people--passionate and willing to work together to accomplish a common objective." This podcast episode was produced by Insights, the custom content arm of MIT Technology Review. It was not produced by MIT Technology Review's editorial staff. "It's not only software, it's not only cloud, but it's also a community of people's skills and services available for the marketplace," Vacher says. "Now, because technologies are more accessible, newcomers can also disrupt, and this is where we want to focus with the lab." And for Dassault Systèmes, there's unlimited real-world opportunities with the power of collective intelligence, especially when you are bringing together industry experts, health-care professionals, makers, and scientists to tackle covid-19. Vacher explains, "We created an open community, 'Open Covid-19,' to welcome any volunteer makers, engineers, and designers to help, because we saw at that time that many people were trying to do things but on their own, in their lab, in their country."

Accenture is a global professional services company with leading capabilities in digital, cloud and security. They are known for delivering unmatched experience and specialized skills across more than 40 industries, through their Strategy and Consulting, Interactive, Technology and Operations services--all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Their 506,000 people deliver on the promise of technology and human ingenuity every day, and serve clients in more than 120 countries. Accenture embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Laetitia Cailleteau is the Managing Director, UKI Emerging Technology and Global Lead for Conversational AI for Accenture.

Every week, we talk about important data and analytics topics with data science leaders from around the world on Facebook Live. You can subscribe to the DataTalk podcast on iTunes, Google Play, Stitcher, SoundCloud and Spotify. This data science video and podcast series is part of Experian's effort to help people understand how data-powered decisions can help organizations develop innovative solutions and drive more business. To keep up with upcoming events, join our Data Science Community on Facebook or check out the archive of recent data science videos. To suggest future data science topics or guests, please contact Mike Delgado. In this week's #DataTalk, we talked with Dr. Anima Anandkumar, Principal Scientist at Amazon AI and Bren Professor at Caltech, about what data scientists need to know about deep learning and how to scale deep learning frameworks. Today we're excited to talk about deep learning with Dr. Anima Anandkumar. Anima serves as the principal scientist at Amazon Web Services. Anima earned her BTech in electrical engineering from the Indian Institute of Technology. She also earned her Ph.D. in electrical engineering from Cornell University, and then after that she served as a postdoctoral researcher at MIT. She's the recipient of dozens of awards.

You reach out to the elite. You try and learn from the best of the best. The data science experts who have scaled the hackathon ladder and tasted success first hand. In short, you learn from the Grandmasters themselves. We are thrilled to present the new "Kaggle Grandmaster Series" where we interview top Kagglers from around the globe to bring their thoughts, insights, and experience in front of the Analytics Vidhya community.

The runaway train of machine (and deep) learning has, in my opinion, reached an alarming level — alarming in the most negative sense. It is one thing to be excited about a useful technology (say, one…

Craig Smith is a former New York Occasions correspondent and host of the podcast, Eye on AI. The continuing Covid-19 pandemic, which has disrupted classroom instruction all over the world, presents an historic alternative to democratize schooling with artificial intelligence. Since Socrates taught Plato and Plato taught Aristotle -- or Confucius taught Yan Hui -- man has identified that one of the best schooling is delivered one-to-one by an skilled educator. The result's the imperfect classroom-based instruction that we stay with in the present day. But, new types of AI, based mostly on deep neural networks, can now uncover patterns about how college students carry out and assist lecturers optimize their methods accordingly.

Arti Zeighami's interest in artificial intelligence started when he read science fiction as a teen. Yet as head of advanced analytics and AI for global retailer H&M Group, his leadership style focuses on reality: first building a business case and a proof of concept, and then undergoing an agile process of iteration and scaling, failure and success, measurement and improvement. Your reviews are essential to the success of Me, Myself, and AI. For a limited time, we're offering a free download of MIT SMR's best articles on artificial intelligence to listeners who review the show. Send a screenshot of your review to smrfeedback@mit.edu to receive the download. Arti Zeighami is a senior executive and a business leader at H&M Group. As chief data and analytics officer, he is responsible for all AI, analytics, and data capabilities across all of the company's brands. He has coined the term amplified intelligence -- where humans and machines work together -- and in this episode shares stories and practical tips on how teams can get started and scale successfully. Read more about our show and follow along with the series.