In this latest episode of Stories in AI, Daniel Faggella, CEO of Emerj AI Research, sits down with me to talk about the ROI enterprises are seeing from AI investment. As a detailed researcher of the industry, he offers advice for communicating the value that AI can bring to specific businesses and how the value created can be measured. Give it a listen! Chapters: 00:00 Introduction 00:35 Daniel’s Story in AI 04:00 Skill Acquisition and ML 05:05 Enterprise AI Today 10:21 Roadmap for AI Development 14:20 AI ROI 18:50 Measurable, Strategic, & Capability ROI 26:30 AI & Business Podcast 31:15 Communicating AI Value 39:15 Wrap Up Daniel’s Bio: Founder and Head of Research at Emerj Artificial Intelligence Research, Daniel Faggella is an internationally recognized speaker on the use-cases and ROI of artificial intelligence in business. Emerj tracks and maps what’s possible and what’s working in artificial intelligence in order to help leaders develop winning AI strategies. Emerj’s AI Opportunity Landscapes are the industry benchmark of artificial intelligence ROI across sectors. Daniel is regularly called upon by global enterprises in financial services and security, and has spoken for many of the largest and most reputable organizations, including the World Bank, the United Nations, the OECD, INTERPOL, and more. Learn More: AI in Business Podcast: https://emerj.com/artificial-intelligence-podcast/ Website: https://danfaggella.com LinkedIn: https://www.linkedin.com/in/danfaggella/ Twitter: https://twitter.com/danfaggella A note about our sponsor: Experian is the world’s leading global information services company. We empower our clients to manage their data with confidence and build trusted relationships with consumers, [More]
The implications and promises of artificial intelligence (AI) are unimaginable. Already, the now ubiquitous functions of AI have changed our lives dramatically—the “fastest route” always at our fingertips, a chatbot to answer all our questions. But what’s possible today will be dwarfed by the great potential of AI in the near future. Advances in computing and the existence of entirely new data sets are ushering in AI capable of realizing milestones that have long eluded us: curing cancer, exploring deep space, understanding climate change. That promise is what fuels our culture’s unrelenting excitement and investment in AI. It also raises the need for real, honest dialogue about how we build and adopt these technologies responsibly. This is the moment for such a conversation. How do we enforce human checks and balances on these machines? How do we educate a workforce whose jobs are evolving with AI? How do we make sure AI is accessible to all socioeconomic classes? The responsibility to raise these questions does not rest solely on the shoulders of journalists and leading technology companies. Rather, it’s the responsibility of all engaged citizens. The answers may not be readily available. But that cannot prevent us from asking them; the stakes are too high, and the promises of this technology are too great. Read more about how AI is shaping our world – From the World Economic Forum: https://www.weforum.org/agenda/archive/artificial-intelligence-and-robotics From Hewlett Packard Labs: https://www.labs.hpe.com/next-next/ai-ethics?pp=false&jumpid=ba_tyn8bw4u7z_aid-510390001
Artificial intelligence (AI) and machine learning represent a major technological shift that is spurring a 21st century renaissance around customer experiences, creativity, and content. With AI adoption spanning nearly all industry verticals and lines of business, it’s fundamentally transforming productivity, business processes, content creation, data insights, and how brands are delivering personalized customer experiences. Given AI’s growing pervasiveness and uncertainty around its economic impact, how can companies embrace this paradigm shift to scale their business and add value? Watch as brands, researchers and more weigh in with the conversation moderated by Altimeter analyst Susan Etlinger.
It’s all CIOs can do to keep up with each new disruptive technology—blockchain, cognitive, digital reality—and incorporate them into specific organizational domains. But there’s a better way to understand and use today’s profound changes: To see these technological forces as complementary, working in harmony. Read the Deloitte Tech Trends 2018 report: https://deloi.tt/2IxJ3rv. Deloitte’s ninth annual technology trends report, “Tech Trends 2018: The Symphonic Enterprise,” shines a light on emerging technologies that organizations are harnessing to foster innovation and growth. From enterprise data sovereignty to digital reality, the no-collar workforce and more, organizations must bring together once disparate technologies to drive change.
Dr. Andrew Ng from Landing AI, Coursera, and Stanford University is one of the world’s most prominent AI scientists and educators. In this episode of CxOTalk, he shares practical strategy and advice for business leaders looking at AI and machine learning in the enterprise. Read the full transcript: https://www.cxotalk.com/episode/andrew-ng-explains-enterprise-ai-strategy In this video, you will learn: — What is Artificial Intelligence? — Why is AI So Important? — What are AI Adoption Challenges in the Enterprise? — Why Did Andrew Ng Start Landing AI? — How Should Organizations Handle Change Management on AI Projects? — How Can Enterprise Leaders Identify AI Hype? — More on Change Management and AI — Importance of Education to AI Adoption in the Enterprise — What are the Issues of AI Ethics? — The Centralizing Power of Big Data Aggregation — AI, Data Aggregation, and Disruption Innovation — How Can Business Leaders Evaluate the AI Business Maturity of their Organization? Here are a few of Andrew Ng’s thoughts on AI and hype: “There are a lot of tools that AI people like me have. But it turns out that 99% of their recent wave of economic value driven by AI is through one idea. The technical term is “supervised learning.” All that means is an AI that is very good at figuring out input to output or A to B mappings such as input an email and output is spam 01. That’s your spam filter. The recent rise of voice conversational agents, that’s based on speech [More]
SAP Chief Technology Officer and Executive Board Member Juergen Mueller takes the stage at #SAPTechEd Las Vegas 2019, to discuss leading concepts and #technologies of the intelligent enterprise including key end-to-end #business processes infused with #intelligence. Together with his guests, Juergen shows how SAP is evolving the digital platform into a business technology platform, ensuring out-of-the-box integration, modularity, ease of extension, and consistent experience across business processes in an intelligent enterprise. http://sap.to/60571GKGl
Built for business and IT, the UiPath Enterprise RPA Platform will always provide you with a consistent automation edge over your competition. Watch the video for a thorough induction on the Platform’s main components and get ready to start your automation journey.
Mar.08 — Fei-Fei Li, Google Cloud chief scientist, discusses the transformation to machine learning in cloud technology and the diversity challenges in artificial intelligence. She speaks with Bloomberg’s Caroline Hyde on “Bloomberg Technology.”
The yearly Applied Artificial Intelligence Conference is organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations. Moderator: Andrew Salzman, Partner, Chasm Group Speakers: Igor Jablokov, Founder and CEO, Pryon Inc Matt Swanson, CEO, Augment Nisha Talagala, Chief Technology Officer, ParallelM Sabrina Atienza, Founder, Qurious.io During this session, the panelists discussed the future of work and how Artificial Intelligence will change workflows, job functions and even our priorities at work. Some of the key takeaways from the session are: – There’s tremendous opportunity for AI to be leveraged in different organizations and even those implemented to improve a process by 1% in a Fortune 500 Company can have huge impact. – AI will create new types of jobs and add value to augment existing systems rather than fully replace/automate them. – The future of our work will primarily consist of interacting with other humans, strategizing, designing and other creative topics, while the monotonous parts will increasingly see automation.