The full episode of SaugaTalks with Prashant Natarajan, Product-Led Growth at H2O.ai, Best-Selling Author of the “Demystifying…” Series, Co-Faculty, Stanford Medicine TimeCodes:00:00 AI Human Decisions Making and Machine Decision Making, Separating Hype from Reality04:33 AI Strategy is about IMPA...

Pick an industry – any industry – and you can virtually guarantee that AI will have been hailed as its next big thing. The cryptocurrency sector is no different, with many of 2017's ICOs shoehorning the concept into their whitepapers somewhere in a bid to appear "cutting edge" and in touch with the zeitgeist. But beyond all the hype, what impact will artificial intelligence have on the crypto industry, and could its rise ultimately render human traders obsolete? AI is to tech what "blockchain" is to the cryptocurrency industry: a concept whose genuine applications are significantly outnumbered by the projects interested solely in latching onto the buzzword and surfing it for all it's worth. Given that startups described as being involved with AI attract 15-50% more funding than other tech firms, it's understandable why companies are so keen to cash in on the hype.

IT service teams have been under continuous pressure about two matters for quite some time now. On the one hand, they must to do more with less. On the other, they need to deliver superior customer service and reduce downtime. We have seen that the complexity of these issues has also increased to a significant extent. Artificial intelligence and machine learning are a helpful solution to all these issues. AI offers many opportunities to address these challenges.

Pick an industry – any industry – and you can virtually guarantee that AI will have been hailed as its next big thing. The cryptocurrency sector is no different, with many of 2017's ICOs shoehorning the concept into their whitepapers somewhere in a bid to appear "cutting edge" and in touch with the zeitgeist. But beyond all the hype, what impact will artificial intelligence have on the crypto industry, and could its rise ultimately render human traders obsolete? AI is to tech what "blockchain" is to the cryptocurrency industry: a concept whose genuine applications are significantly outnumbered by the projects interested solely in latching onto the buzzword and surfing it for all it's worth. Given that startups described as being involved with AI attract 15-50% more funding than other tech firms, it's understandable why companies are so keen to cash in on the hype.

Pick an industry – any industry – and you can virtually guarantee that AI will have been hailed as its next big thing. The cryptocurrency sector is no different, with many of 2017's ICOs shoehorning the concept into their whitepapers somewhere in a bid to appear "cutting edge" and in touch with the zeitgeist. But beyond all the hype, what impact will artificial intelligence have on the crypto industry, and could its rise ultimately render human traders obsolete? AI is to tech what "blockchain" is to the cryptocurrency industry: a concept whose genuine applications are significantly outnumbered by the projects interested solely in latching onto the buzzword and surfing it for all it's worth. Given that startups described as being involved with AI attract 15-50% more funding than other tech firms, it's understandable why companies are so keen to cash in on the hype.

Today's wireless networks are hugely complex already, and will acquire new layers of sophistication as the industry launches 5G services. Network operators require more dynamic methods to get the best from their infrastructure and services. Artificial intelligence (AI) and machine learning (ML) afford traditional telecoms providers a rare opportunity to reinvent themselves for the new digital age. This webinar considers how operators are already using AI-based applications in marketing, sales and operations, as well as how AI-based technologies can help them to embrace unknowable opportunities presented by the rise of 5G and the internet of things (IoT).

A lot of digital ink has been spilled about artificial intelligence (A.I.)'s potential impact on people and businesses. But let's face it: much of the discussions about A.I. advancements are based on speculation. Organizational leaders must separate the hype from reality and take a hard look at A.I. technology before they can arrive at a viable strategy. Here, we'll examine two areas where A.I. has made a significant impact, its limitations, and what to expect moving forward. A quick Google search of artificial intelligence will bring up headlines like "How Artificial Intelligence Will Change Everything," and "9 Ways Artificial Intelligence Will Affect Our Lives."

These days, marketers can't read about their profession without getting bombarded with wild claims about how AI is going to disrupt everything they do. And with the sales and marketing functions evolving so rapidly in recent years, marketers in particular must embrace an entrepreneurial spirit and constantly explore new technologies in order to give their team a competitive edge. That mindset shift, along with new consumer trends -- such as self-driving cars and intelligent voice-first products like Amazon's Alexa and Apple's Siri -- are bringing the possibilities of AI to the forefront of business-to-business marketing technology discussions. But all of this begs the question, "Which AI claims are hype and which are reality?" In order to know what a new technology like AI can bring to the table, it's important to fully understand the problems you're trying to solve.

Today's push behind machine learning and artificial intelligence is so powerful that it has led to some pretty high expectations for performance and deliverables. When it comes to business value and ROI, can it really live up to the claims? Evaluating the value of a full machine learning project requires moving past the hype and managing the realities of this evolving technology, one example at the time. We'll look at the realities of a pure machine learning approach through the lens of a typical enterprise use case. If we're to believe the past couple of years' worth of marketing hype, machine learning is a magic box, supported by an evolved approach, strengthened by the latest technology and most importantly, able to effortlessly produce results.

Today's push behind machine learning and artificial intelligence is so powerful that it has led to some pretty high expectations for performance and deliverables. When it comes to business value and ROI, can it really live up to the claims? Evaluating the value of a full machine learning project requires moving past the hype and managing the realities of this evolving technology, one example at the time. We'll look at the realities of a pure machine learning approach through the lens of a typical enterprise use case. If we're to believe the past couple of years' worth of marketing hype, machine learning is a magic box, supported by an evolved approach, strengthened by the latest technology and most importantly, able to effortlessly produce results.