Travis Greene

The IT industry, not unlike biology, evolves at a measured pace.  Innovations perceived as great leaps forward are more often usually just novel combinations of existing capabilities repurposed for new tasks.  The wow factor generated by the latest vendor offerings is primarily due to their inventive approach to solving current problems, not the revelation of some unimaginably futuristic scientific advancement.  It therefore behooves us to consider the solutions IT automation produces in evolutionary, rather than revolutionary, terms.   One such executive taking this long view is Travis Greene, Director of Strategy for IT Operations Products at Micro Focus. As witness to a couple decades worth of progressions in IT operations, he has a clear-eyed perspective on where our industry is going, based on where we’ve been.  Travis drops in to share his insights with us, and along the way we'll learn why developers will never be able to wish IT Ops away, the future role of humans in automated enterprises, &amp; the biggest factors in making IT automation successful.

The IT industry, not unlike biology, evolves at a measured pace.  Innovations perceived as great leaps forward are more often usually just novel combinations of existing capabilities repurposed for new tasks.  The wow factor generated by the latest vendor offerings is primarily due to their inventive approach to solving current problems, not the revelation of some unimaginably futuristic scientific advancement.  It therefore behooves us to consider the solutions IT automation produces in evolutionary, rather than revolutionary, terms. One such executive taking this long view is Travis Greene, Director of Strategy for IT Operations Products at Micro Focus. As witness to a couple decades worth of progressions in IT operations, he has a clear-eyed perspective on where our industry is going, based on where we’ve been.  Travis drops in to share his insights with us, and along the way we'll learn why developers will never be able to wish IT Ops away, the future role of humans in automated enterprises, &amp; the biggest factors in making IT automation successful.

Travis Greene - Director of Strategy for IT Operations Products at Micro Focus

Neil Sahota

AI’s impact on people, organizations, and countries is now so far-reaching there soon won’t be any aspect of our lives left untouched by it.  To even begin understanding how wide-ranging the effect of artificial intelligence is currently, we undertake a wide-ranging discussion with Neil Sahota, AI advisor to the United Nations.  Neil takes us on a grand tour of some really exciting ways AI’s capabilities are being used around the world today.  He also introduces us to a thinking framework he developed that can guide us on how to harness AI’s capabilities to create disruptive advances.   Along the way we'll learn what the biggest challenge is for organizations deploying artificial intelligence, the unheralded metric which best captures the impact of AI on business &amp; IT operations, &amp; what the biggest area of growth will be for artificial intelligence over the next 3 years.

AI’s impact on people, organizations, and countries is now so far-reaching there soon won’t be any aspect of our lives left untouched by it.  To even begin understanding how wide-ranging the effect of artificial intelligence is currently, we undertake a wide-ranging discussion with Neil Sahota, AI advisor to the United Nations.  Neil takes us on a grand tour of some really exciting ways AI’s capabilities are being used around the world today.  He also introduces us to a thinking framework he developed that can guide us on how to harness AI’s capabilities to create disruptive advances. Along the way we'll learn what the biggest challenge is for organizations deploying artificial intelligence, the unheralded metric which best captures the impact of AI on business &amp; IT operations, &amp; what the biggest area of growth will be for artificial intelligence over the next 3 years.

Neil Sahota - AI Advisor to the United Nations, IBM Master Inventor, & Chief Innovation Officer at UC Irvine

Jay McBain

We've all heard the term "growing the pie" in the context of enlarging an economic opportunity to enrich more people.  That kind of pie growth is visible today in the automation &amp; AI space, where swelling revenue streams are accelerating prosperity for software vendors &amp; service providers.  This in turn is driving the formation of an automation- &amp; AI-centered business ecosystem which ultimately will have a significant macroeconomic impact on numerous industries.  At least that's the prediction of Jay McBain from Forrester research who, perhaps more than anyone else, has devoted himself to studying this ecosystem.   Jay's insights are highly sought after, which is why Channel Partners Magazine named him their 2021 Channel Influencer of the Year.  In this episode we catch up with Jay, who shares his vast erudition with us on the mind-boggling number of market opportunities going unmet by automation providers;  the biggest disruptions we'll see in the coming years for the automation and AI ecosystem; &amp; why every company is becoming a tech company.

We've all heard the term "growing the pie" in the context of enlarging an economic opportunity to enrich more people.  That kind of pie growth is visible today in the automation &amp; AI space, where swelling revenue streams are accelerating prosperity for software vendors &amp; service providers.  This in turn is driving the formation of an automation- &amp; AI-centered business ecosystem which ultimately will have a significant macroeconomic impact on numerous industries.  At least that's the prediction of Jay McBain from Forrester research who, perhaps more than anyone else, has devoted himself to studying this ecosystem. Jay's insights are highly sought after, which is why Channel Partners Magazine named him their 2021 Channel Influencer of the Year.  In this episode we catch up with Jay, who shares his vast erudition with us on the mind-boggling number of market opportunities going unmet by automation providers;  the biggest disruptions we'll see in the coming years for the automation and AI ecosystem; &amp; why every company is becoming a tech company.

Jay McBain - Principal Analyst Channels, Partnerships & Ecosystems at Forrester

Isaac Sacolick

When it comes to digital transformation, as the saying goes, we may all be in the same storm, but we're not all in the same boat.  Just ask any 2 people and you'll get 3 different testimonials reflecting an incredibly broad spectrum of experiences &amp; outcomes.  For senior IT leaders captaining their operations vessel, what should they know to best navigate the turbulence of this technology tempest and ensure their enterprise makes it to safe harbor?   For insights we turn to Isaac Sacolick, who much like a beacon guiding travelers through treacherous waters, advises CIOs on how best to avoid the unseen hazards that could sink one's digital transformation initiative.  In a wide-ranging discussion we learn what constitutes Digital Transformation 2.0, his frank advice to IT leaders on overcoming robophobia, and the people-centric direction he sees automation heading towards as the next big thing in digital transformation.

When it comes to digital transformation, as the saying goes, we may all be in the same storm, but we're not all in the same boat.  Just ask any 2 people and you'll get 3 different testimonials reflecting an incredibly broad spectrum of experiences &amp; outcomes.  For senior IT leaders captaining their operations vessel, what should they know to best navigate the turbulence of this technology tempest and ensure their enterprise makes it to safe harbor? For insights we turn to Isaac Sacolick, who much like a beacon guiding travelers through treacherous waters, advises CIOs on how best to avoid the unseen hazards that could sink one's digital transformation initiative.  In a wide-ranging discussion we learn what constitutes Digital Transformation 2.0, his frank advice to IT leaders on overcoming robophobia, and the people-centric direction he sees automation heading towards as the next big thing in digital transformation.

Isaac Sacolick - President & Founder of StarCIO

Sandeep Parikh

Whether undertaken by individuals, departments, or entire organizations, the automation journey is virtually certain to include a hearty mix of progress and pitfalls.  Ambitious objectives often go unrealized, but unexpected benefits frequently emerge as well.  These mixed results prompt some to pull the plug on their automation pursuits, while compelling others to double down in their quest for digital transformation.  Uncovering the causes driving these varied outcomes is one of the subjects explored by EY Partner Sandeep Parikh in his recent book "Automation Conundrum".   As EY's Leader for Intelligent Automation, Sandeep has assiduously examined why automation &amp; AI work well for some, but less so for others.  We do a deep dive with Sandeep about his observations, and along the way learn what it takes to create a culture of automation within an organization; why the biggest automation &amp; AI challenge facing the technology sector has nothing to do with technology; and why FTE reduction shouldn't be the metric used to judge automation's success.

Whether undertaken by individuals, departments, or entire organizations, the automation journey is virtually certain to include a hearty mix of progress and pitfalls.  Ambitious objectives often go unrealized, but unexpected benefits frequently emerge as well.  These mixed results prompt some to pull the plug on their automation pursuits, while compelling others to double down in their quest for digital transformation.  Uncovering the causes driving these varied outcomes is one of the subjects explored by EY Partner Sandeep Parikh in his recent book "Automation Conundrum". As EY's Leader for Intelligent Automation, Sandeep has assiduously examined why automation &amp; AI work well for some, but less so for others.  We do a deep dive with Sandeep about his observations, and along the way learn what it takes to create a culture of automation within an organization; why the biggest automation &amp; AI challenge facing the technology sector has nothing to do with technology; and why FTE reduction shouldn't be the metric used to judge automation's success.

Sandeep Parikh - Partner and Leader for Intelligent Automation at EY

Steven Hall

It's been often remarked that the Chinese symbol for "crisis" is comprised of two other characters representing danger and opportunity.  The coronavirus pandemic has perhaps been the most dangerous global crisis since the Cold War, but for many economic sectors, it's created great opportunity.  The MSP &amp; cloud service provider market is one such sector, which according to Steven Hall of ISG has grown an astounding 50% over the last 4 quarters.  Much of this is due to the crisis spawned by COVID-19, which accelerated adoption of both cloud and automation services, leading to enterprise digital transformation initiatives being expedited across the board.   As publisher of the ISG Index, the standard for marketplace intelligence on the global IT services industry, Steven is uniquely positioned to not only assess the current state of automation, but also peer over the horizon and see where things are heading.  In this episode we learn what Steven sees as the five major areas of automation MSP's must focus on to optimize their cost structures; why the number of bots deployed doesn't necessarily translate to fewer FTE's but still provides high value; and the many ways he sees automation affecting the business of MSP's.

It's been often remarked that the Chinese symbol for "crisis" is comprised of two other characters representing danger and opportunity.  The coronavirus pandemic has perhaps been the most dangerous global crisis since the Cold War, but for many economic sectors, it's created great opportunity.  The MSP &amp; cloud service provider market is one such sector, which according to Steven Hall of ISG has grown an astounding 50% over the last 4 quarters.  Much of this is due to the crisis spawned by COVID-19, which accelerated adoption of both cloud and automation services, leading to enterprise digital transformation initiatives being expedited across the board. As publisher of the ISG Index, the standard for marketplace intelligence on the global IT services industry, Steven is uniquely positioned to not only assess the current state of automation, but also peer over the horizon and see where things are heading.  In this episode we learn what Steven sees as the five major areas of automation MSP's must focus on to optimize their cost structures; why the number of bots deployed doesn't necessarily translate to fewer FTE's but still provides high value; and the many ways he sees automation affecting the business of MSP's.

Steven Hall - President of ISG

Chetan Dube

In Part II of this 2-part episode, we continue our conversation with Chetan Dube, who for over 2 decades has been haunted by the seminal question Alan Turing posed in 1950 - "Can Machines Think?"  Chetan's years-long Odyssey in pursuit of an answer led him to found Amelia, one of the market leaders in enterprise AI software.   During this segment, we'll learn how the government can significantly reduce its trade deficit by leveraging AI, when the majority of the workforce will be digital (hint: it's sooner than you think), and Chetan's tips on how to "hire" the right digital employee.

In Part II of this 2-part episode, we continue our conversation with Chetan Dube, who for over 2 decades has been haunted by the seminal question Alan Turing posed in 1950 - "Can Machines Think?"  Chetan's years-long Odyssey in pursuit of an answer led him to found Amelia, one of the market leaders in enterprise AI software. During this segment, we'll learn how the government can significantly reduce its trade deficit by leveraging AI, when the majority of the workforce will be digital (hint: it's sooner than you think), and Chetan's tips on how to "hire" the right digital employee.

Chetan Dube - President, CEO and Founder of Amelia, an IPsoft company (PART II)

Progress, in just about any endeavor, is often driven by pioneers who see pathways where others only see dead ends.  In the field of AI, one such trailblazer is Chetan Dube, whose quest to make machine intelligence approximate human intelligence led him to found IPsoft (now Amelia), the world's largest privately held AI software company.   In Part I of this 2-part episode, we speak with Chetan &amp; learn why traditionally risk-averse industries went all in on conversational AI and the differentiating edge it provides them; which metric (other than ROI) best captures the impact of automation; and the biggest challenges organizations are experiencing in deploying automation and conversational AI.

Progress, in just about any endeavor, is often driven by pioneers who see pathways where others only see dead ends.  In the field of AI, one such trailblazer is Chetan Dube, whose quest to make machine intelligence approximate human intelligence led him to found IPsoft (now Amelia), the world's largest privately held AI software company. In Part I of this 2-part episode, we speak with Chetan &amp; learn why traditionally risk-averse industries went all in on conversational AI and the differentiating edge it provides them; which metric (other than ROI) best captures the impact of automation; and the biggest challenges organizations are experiencing in deploying automation and conversational AI.

Chetan Dube - President, CEO and Founder of Amelia, an IPsoft company (PART I)

Sagi Eliyahu

By 2023, Gartner projects that citizen developers will outnumber professional developers more than 4-to-1 at large enterprises.  This astonishing development reflects the emergence of employees with "digital dexterity", who are comfortable using new technologies that drive "better business outcomes". One example of such technology is Tonkean’s Adaptive Business Operations Platform, a no-code/low-code automation tool that empowers citizen developers, or “makers” to optimize processes at the operations layer.   Sagi Eliyahu, is the CEO and Co-Founder of Tonkean, and he’s on a mission to transform upskilled personnel into makers, who use automation to identify problems and build solutions without any programming, or the need for IT resources.  We talk with him about human-in-the-loop automation, and along the way we learn about the importance of optimizing for humans rather than data, the biggest challenges organizations are experiencing in deploying automation, and the surprisingly high percentage of IT &amp; operations teams that have adopted or are working on adopting no-code/low-code tools.

By 2023, Gartner projects that citizen developers will outnumber professional developers more than 4-to-1 at large enterprises.  This astonishing development reflects the emergence of employees with "digital dexterity", who are comfortable using new technologies that drive "better business outcomes". One example of such technology is Tonkean’s Adaptive Business Operations Platform, a no-code/low-code automation tool that empowers citizen developers, or “makers” to optimize processes at the operations layer. Sagi Eliyahu, is the CEO and Co-Founder of Tonkean, and he’s on a mission to transform upskilled personnel into makers, who use automation to identify problems and build solutions without any programming, or the need for IT resources.  We talk with him about human-in-the-loop automation, and along the way we learn about the importance of optimizing for humans rather than data, the biggest challenges organizations are experiencing in deploying automation, and the surprisingly high percentage of IT &amp; operations teams that have adopted or are working on adopting no-code/low-code tools.

Sagi Eliyahu - CEO and Co-Founder of Tonkean

Steven Umbrello

Had the great modernist poet D. H. Lawrence lived in our time, perhaps he would've alternatively phrased this famous quote as follows - "Ethics and equity and the principles of justice do not change with shifting technological paradigms." Today, many people realize that the shifting paradigms of AI, automation, and digital transformation will disrupt numerous human-involved processes, but few ponder how these disruptions will affect ethics and equity and principles of justice.  Fewer still contemplate how to address these technoethical challenges, and what framework should be applied in doing so.   Enter Steven Umbrello, Managing Director at the Institute for Ethics and Emerging Technologies.  Steven emphatically advocates for Value Sensitive Design (VSD) as a systemic approach to ensuring human values are accounted for throughout a design process. Steven joins us to discuss his research, how to incorporate VSD into AI systems, and the negative ramifications of excluding VSD from the innovation process.

Had the great modernist poet D. H. Lawrence lived in our time, perhaps he would've alternatively phrased this famous quote as follows - "Ethics and equity and the principles of justice do not change with shifting technological paradigms." Today, many people realize that the shifting paradigms of AI, automation, and digital transformation will disrupt numerous human-involved processes, but few ponder how these disruptions will affect ethics and equity and principles of justice.  Fewer still contemplate how to address these technoethical challenges, and what framework should be applied in doing so. Enter Steven Umbrello, Managing Director at the Institute for Ethics and Emerging Technologies.  Steven emphatically advocates for Value Sensitive Design (VSD) as a systemic approach to ensuring human values are accounted for throughout a design process. Steven joins us to discuss his research, how to incorporate VSD into AI systems, and the negative ramifications of excluding VSD from the innovation process.

Steven Umbrello - Managing Director at the Institute for Ethics and Emerging Technologies

Hosted by Guy Nadivi, Intelligent Automation Radio is the #1 podcast for IT executives seeking insights on the impact &amp; opportunities for innovation that automation is delivering to businesses around the world.  Featuring thought leaders in Automation, AI, Machine Learning, Orchestration, Digital Transformation, &amp; the Future of Work.

Intelligent Automation Radio

Lee Coulter

Should automation projects be a business activity or an IT activity? What differentiates Bot 1.0 from 2.0 &amp; 3.0? What is task harvesting? Why do less than 5% of organizations have an automation strategy, when automation is clearly such a major component of enterprise digital transformation? As Chair of the IEEE Working Group on Standards in Intelligent Process Automation, Lee Coulter is in a unique position to answer these and many other questions about automation. Lee talks with us and shares his insider perspective of where automation is heading, what you're really buying when you invest in an automation platform, and what the one essential skill is that will set apart successful individuals in a highly automated future.

Lee Coulter – Chair of the IEEE Working Group on Standards in Intelligent Process Automation

Gene Chao

Automation, Artificial Intelligence, and Machine Learning are disrupting work environments in nearly every major industry and job function around the globe. This tectonic shift in how work gets done is almost as breath-taking as the pace at which the change is occurring. Depending on one’s perspective, this digital transformation is either exciting, unsettling, or even both. If however you run the automation practice for IBM, a Fortune 100 company, your perspective is uniquely broader, and decidedly more enlightened. As Global Vice President and General Manager for IBM Automation, Gene Chao probably knows as much as anyone else in the world about the current state of these technologies, and the impact they’re having on the enterprise. Gene joins us to share his views on what a digital workforce with a software-based labor model will look like, why organizations clinging to rigid centralized hierarchies may not remain competitive much longer, and which metric is the worst indicator at gauging the effectiveness of automation.

Gene Chao, Global Vice President and General Manager - IBM Automation

Ron Schmelzer

Artificial intelligence frightens some, excites others, and captivates just about everyone. Inflated expectations about AI’s potential for good &amp; bad have accompanied its narrative since antiquity, when as American author Pamela McCorduck wrote, it originated with "an ancient wish to forge the gods." Modern sentiments about AI continue to fuel some very basic misunderstandings about its nature, as well as what it can and can’t do (yet). To help us analyze the seemingly concealed reality within this opacity of hype, we called upon Ron Schmelzer, Managing Partner and Principal Analyst for Cognilytica, an AI-focused analyst and advisory firm. In this absorbing episode, Ron guides us through a brief history of AI, its potential to augment &amp; multiply human productivity, and why 3-5 years from now if a business doesn’t utilize AI bots it will be the equivalent of not having a website. Along the way we’ll learn what Amazon realized from deploying automation that caused it to hire more people than ever, which career offers the biggest opportunity to take advantage of the burgeoning growth in AI, and how C-suite executives should be thinking about this transformative technology for competitive advantage.

Ron Schmelzer – Managing Partner and Principal Analyst for Cognilytica

Andrew Brill

How can automation in the highly regulated, fiercely competitive field of healthcare give an organization a leg up on its rivals? What are the biggest quantifiable benefits a healthcare organization can expect to enjoy by deploying automation? And what are some of the most effective tactics to employ in getting your organization to embrace automation, despite trepidations some may have about the possible repercussions to their jobs? Andrew Brill is one of the most experienced &amp; knowledgeable practitioners of leveraging technologies like automation, artificial intelligence, and machine learning in the healthcare field. Having overseen the implementation of automation workflows in a very complex environment that have yielded hundreds of hours of savings, he’s learned a lot about what works, and what doesn’t. Andrew shares his valuable insights with us, as well as why the proliferation of API’s combined with automation, could lead to some of the biggest opportunities yet for optimizing processes in any type of enterprise.

Andrew Brill – Vice President of Engineering, Cloud Services, and RPA/IA for Change Healthcare

Will Christensen

The renowned business management guru Tom Peters once wrote that "Business is about people. It's about passion. It's about bold ideas, bold small ideas or bold large ideas." Automation, arguably, is a bold large idea that's taken root in large enterprises. Less well known is the fact that it's pretty popular among smaller businesses as well, where it's become no less of a bold large idea. That may come as a surprise to some who only think of automation as a tool for roboticizing complex, large-scale processes in big organizations. Nevertheless, automation’s diffusion has made it readily accessible at all levels, just as computers went from being once rare machines of the privileged to ubiquitous tools of the masses. The democratization of automation is creating a bonanza for service providers who can accelerate the benefits an organization realizes from its deployment. One such provider is DataAutomation, whose cofounder Will Christensen has gained a unique perspective on this trend through his extensive experience helping SMB’s automate a broad diversity of processes. Will joins us to share the surprising #1 driver for automation among SMB's, the 4 basic questions to answer before automating any SMB's manual process, and the litmus test SMB's should go through before deciding whether or not to even automate a manual process.

Will Christensen - Co-Founder of DataAutomation

Gabby Menachem

In just about every data center worldwide, there's a lot of experience, expertise, and instinct stored in the brains of the people keeping that data center running. However, the surge in demand for data center services, combined with the increasing complexity of their IT infrastructures, is putting a tremendous burden on their staff. It turns out that while hardware and software may be scalable, people are not. Further exacerbating matters is that previous concerns about the age of the equipment have given way to concerns about data center staff aging faster than the equipment. These converging predicaments are fueling the search for a solution. Enter AIOps, which at its essence is a way to bottle a data center’s tribal knowledge, and supercharge the speed at which it's applied. To learn more about how an enterprise can benefit from AIOps, we turn to Gabby Menachem, CEO of Loom Systems, which publishes an AI solution that predicts IT incidents before they impact operations. Gabby shares with us many specific use cases where AIOps can add both value and competitive advantage to an enterprise. Along the way, we'll learn how AIOps might ultimately allow organizations to reduce the skillset required for some IT positions, how rapid determination of incident root cause can unexpectedly save an organization millions of dollars, and how AIOps can not only cut costs but surprisingly help grow a business.

Gabby Menachem – CEO of Loom Systems

Automation in the enterprise has proven efficient, cost effective, &amp; mature enough that early adopters have begun scaling up their deployments to increase returns &amp; amplify their competitive advantage. The long-term repercussions of this will likely widen the gap between market leaders &amp; laggards. In the short term, this expansion will raise questions about the best way to approach sweeping organizational change management for what is proving to be one of the most profound changes organizations &amp; their personnel will ever go through. In Part I of this 2-part episode, Lee Coulter, CEO of transformAI joins us to examine the issues surrounding how automation deployments should be upscaled, the value propositions most effective in persuading a CEO to move forward on automation, and which senior executive is best-suited to lead an organization's intelligent automation initiative.

Lee Coulter – CEO of transformAI (Part I)

Ahmed El Adl

"May you live in interesting times" (a 19th-century English expression often mistaken as being of Chinese provenance), aptly describes today's technology environment. Artificial intelligence, machine learning, data science, and the internet of things were already interesting enough. It turns out though that those were just prologue to the rise of something called a "Cognitive Digital Twin". To shed light on this and other advances, we turn to Dr. Ahmed El Adl, Principal Director of AI Consulting &amp; Intelligent Solutions at Accenture. He shares his far-reaching insights with us, and clarifies whether AI will ultimately have a bigger impact as a tool for automation or worker augmentation, whether machine learning will ultimately eliminate the need for data science altogether, and the most important background to consider when hiring an AI professional.

Dr. Ahmed El Adl – Principal Director of AI Consulting & Intelligent Solutions for Accenture

Bret Greenstein

Charles Darwin's Theory of Evolution has long been applied outside biology, to domains such as medicine and psychology. Evolutionary principles have also found applicability in the realm of artificial intelligence and machine learning via algorithms that have the ability to evolve. Ironically, over 150 years ago, Darwin described himself in almost algorithmic terms when he stated "I am turned into a sort of machine for observing facts and grinding out conclusions." Leveraging Darwinian doctrine to optimize AI outcomes for clients consumes much of the day for Bret Greenstein, VP and Global Head of AI for Cognizant Technology Solutions. After a 3-decade stint at IBM, Bret joined Cognizant to lead their Evolutionary AI program, which accelerates delivery of those optimal outcomes for a variety of use cases in a broad array of industries. Bret shares with us some finer points about Evolutionary AI’s workings, and the impact it’s having on enterprises today. Along the way we'll discover why implementing AI &amp; machine learning is going to re-prioritize the agenda for CIOs &amp; CTOs, laying the groundwork for IT to transition from a cost center to an enabler of revenue growth.

Bret Greenstein – VP and Global Head of AI for Cognizant Technology Solutions

Ian Barkin

"Disruptive Innovation", a term coined in 1995 by Harvard scholar Clayton M. Christensen, can wreak havoc and displacement upon markets, organizations, and product lines. New technologies such as Cassette Tapes, CDs, and MP3 files, are examples of innovations which disrupted the music industry, upending the existing order. Many people are predicting that automation, artificial intelligence, and machine learning could generate the same chaos. However, Ian Barkin Chief Strategy Officer for Symphony Ventures, preaches a contrarian viewpoint of positive disruption to his clients. In Ian's view, existing infrastructures should not be replaced by innovations like AI, but rather melded together, creating a new digital operations reality. He's found numerous instances where the "non-cashable" benefits alone from this approach outweigh the "cashable" ones, and often in unexpected ways. Ian talks with us about positive disruption, the "extra hour scenario", and why we must reform our education practices starting at the pre-school level in order to prepare our youngest generation for a future of work which will rely much more on creativity than doing routine tasks.

Ian Barkin – Co-Founder and Chief Strategy Officer of Symphony Ventures

What do you think of when you hear the phrase “artificial intelligence”? Do your thoughts veer more towards Terminator or Robby the Robot (Will Robinson's guardian from "Lost in Space")? Do you envision future machines being more like Hal from “2001: A Space Odyssey” or Samantha from the 2013 movie "Her"? Nobody knows for sure how real-world AI will eventually evolve, but one person has a better idea than most, and that’s led him to predict where AI, machine learning, &amp; automation will have the biggest impacts. Manish Kothari, President of SRI International leads an organization that’s world-renowned for its innovations in a broad spectrum of focus areas. He joins our show to share his insights on the areas AI, machine learning, &amp; automation are disrupting the most. Along the way we’ll learn whether AI will augment more people or replace more people, whether AI algorithms should be audited like financial statements, and which industry stands to benefit the most from automation, AI, and machine learning.

Manish Kothari – President of SRI International

Max Cheprasov

The ground-shifting digital transformations underway at many enterprises are beginning to transform the executive C-suite as well. Traditional IT leadership roles like CIO &amp; CTO are being joined by new executive titles like Chief Automation Officer (CAO). The elevation of this function to the C-suite parallels the rise in strategic importance of automation, AI, and machine learning to an organization's future competitiveness. To better understand what a Chief Automation Officer does and how they can positively impact business outcomes for global enterprises, we turn to Max Cheprasov of Dentsu Aegis Network. As Chief Automation Officer of the world's 5th largest digital marketing agency, Max focuses on leveraging automation &amp; AI as a force multiplier for Dentsu's 47,000 employees. He shares with us results from some of the high profile use cases his team has implemented, the surprising way in which enterprises might reap the lion's share of automation's benefits, and who the most important strategic partner is for anyone leading an AI and automation practice.

Max Cheprasov – Chief Automation Officer at Dentsu Aegis Network

Gadi Oren

It’s been said that the enemy of execution is complexity. Nowhere has this rung truer than corporate data centers, where growing systems complexity threatens the execution of digital transformation strategies. How can enterprises successfully transition to this new digital business paradigm, without succumbing to the hazards that can jeopardize increasingly complicated IT environments? According to one expert, the answer is AIOps. In this episode, we speak with Gadi Oren, Vice President of Technology Evangelism for LogicMonitor. His company recently conducted a global survey of 300 senior IT executives and found that 90% of them had experienced a serious outage in the past 3 years! A shocking figure which LogicMonitor directly attributes to the rising complexity of IT infrastructures. Gadi shares with us how the emerging field of AIOps can counteract this negative trend, mitigate industry talent shortages, and ultimately reshape the future of data centers.

Gadi Oren - Vice President of Technology Evangelism for LogicMonitor

Anik Bose

Wayne Gretzky, the greatest player in the history of professional hockey, was once asked how he had such an uncanny ability during games to be at the right place at the right time. He responded, "I skate to where the puck is going to be, not to where it has been." That quote more than any other defines the objective of every venture capitalist in Silicon Valley, many of whom are skating towards Automation, AI, and Machine Learning. It's a pretty good bet then that in the years ahead, that's where the puck is going to be, and also where the most goals are likely to be scored. To get an insider's perspective on how VC's view the opportunities these advances represent, we turn to Anik Bose, General Partner of Benhamou Global Ventures. Anik reveals to us what he believes will be the biggest disruptions we'll see in three, five, &amp; 10 years from now. He also shares his advice to entrepreneurs on what VC's look for when investing in startups, as well as what entrepreneurs should look for in a venture capital firm.

Anik Bose – General Partner of Benhamou Global Ventures (BGV)

Mark Campbell

Over two millennia ago, the famous ancient Greek historian Thucydides wrote about how best to dispense with Spartans. He could not have known that 2,400 years later his writings would enter the pantheon of organizational thinking about innovation. Yet as unlikely as it sounds, that's exactly what Mark Campbell believes has happened. As Chief Innovation Officer of Trace3, Mark uses the age-old reflections of Thucydides to help advise IT executives today. Navigating the labyrinth of emerging technologies is a Herculean task, and Mark has lots of sage advice on what innovations to take advantage of, as well as which ones to avoid. In this episode, we chat with Mark about a number of emerging technologies from automation, AI, and machine learning to quantum computing. Along the way we'll learn what questions a vendor should answer to ascertain if their product's AI capabilities are based on engineering or marketing hype, the potential pitfalls awaiting any enterprise that decides to handle the "people problem" later, and the one biggest fear customers have about emerging technologies.

Mark Campbell – Chief Innovation Officer of Trace3

Lee Coulter - CEO of transformAI (Part II)

Robert H. Brown

How do you envision the future of work? More utopian or more dystopian? Are we destined for a scenario where robots do all the work, leaving our biggest challenge to be deciding what to do with our abundance of leisure time? Or are we doomed to experience massive social unrest owing to the multitudes of unemployed displaced by those same robots? As any good lawyer will tell you, the answer depends. While we don’t retain attorneys to help us divine what lies ahead, we do rely on futurists like Robert H. Brown to produce educated predictions. As Vice-President of Cognizant’s Center for the Future of Work, Robert leads a team that’s articulated a fascinating picture of that future based on extensive research and global insights. We delve into some of his team’s findings, which turn out to be neither utopian nor dystopian. Along the way we’ll discover why despite rapid advances in AI, Automation, and other technologies, the key to being gainfully employed in the future of work, might just come down to being a better human.

Robert H. Brown - Vice President of the Center for the Future of Work

Theresa Kushner

The famous management consultant W. Edwards Deming once said “In God we trust, all others bring data.” Enterprises embracing digital transformation are bringing that data in droves, and cultivating it in ways unimaginable even just a few short years ago. Thanks to new tools, techniques, and technological advances, massive volumes of historical &amp; real-time data can be analyzed to make forecasts about future events. This field of “predictive analytics” has enormous implications for everyone. For IT professionals, it offers a chance to not only anticipate problems before they occur, but to automate their mitigation before they materialize. Predictive analytics seems like the modern day equivalent of a crystal ball, but with data scientists and statisticians divining the future instead of fortune tellers. To get us up to speed on the state of predictive analytics today, we turn to one of its most notable thought leaders, Theresa Kushner, recent inductee into the Analytics Hall of Fame. Having managed huge analytics projects for Dell, Cisco, VMWare &amp; IBM, Theresa knows what it takes to convert data into ROI-generating predictions. In this episode, she’ll share with us some of the unexpected ways predictive analytics can be used, how a new occupation called "Business Scientist" might be the key to alleviating the drastic shortage of data scientists, and what the single most unrealistic expectation is plaguing the field of predictive analytics.

Theresa Kushner – Partner in Business Data Leadership, & former Sr. VP of Dell

Mark Gray

The haggard lawyer toting a disheveled box full of paper evidence, before plunking it down on a cluttered desk to carefully examine its contents is a familiar trope employed by many a fictional TV crime series. In real life though, automation, chatbots, and other technologies are rapidly relegating that stereotype into an anachronism. In this regard, perhaps no law enforcement agency in the world has undergone a more radical digital transformation than Crown Prosecution Services, the agency responsible for conducting all criminal prosecutions in England &amp; Wales. Mark Gray is the man leading that digital transformation, and of the many metrics that can be used to measure what he's accomplished in a relatively short span, one stands out as nothing short of astonishing - the elimination of 160 million pages of paper annually! Mark talks with us about other impacts automation has had on his agency, including accelerating the justice process, ensuring evidence doesn't fall through the cracks, and fundamentally changing how people perform their jobs with a greater sense of satisfaction.

Mark Gray – Digital Transformation Director at Crown Prosecution Service

Karen Hao

The legendary Yogi Berra once said "The future ain't what it used to be." Considering the surprising ways advances in AI &amp; Machine Learning are unfolding, Yogi’s quote appears strikingly accurate. For instance, nobody envisioned that one day Pavlovian techniques used to condition animal behavior might be the model for training a computer algorithm. Yet that approach powered the breakthrough victory by AI firm DeepMind's AlphaGo program in 2016 when it defeated world champion Lee Sedol in the ancient game of Go. What specific impact will these technological advances have on us as individuals, and on enterprises seeking competitive advantages in the marketplace? To explore this and other questions we speak to Karen Hao, AI Reporter for MIT Technology Review, a publication claiming to be "the oldest technology magazine in the world." Karen's data-driven reporting focuses on demystifying the recondite world of AI &amp; Machine Learning. We tap into her extensive insights to learn why despite proliferation of "deep fakes" &amp; AI bias she's so optimistic about the field, and what commonly overlooked aspect of AI &amp; Machine Learning IT management should focus on before deploying it.

Karen Hao – Artificial Intelligence Reporter for MIT Technology Review

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