Tag: tom davenport

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Latest Read: The AI Advantage

The AI Advantage: How to Put the Artificial Intelligence Revolution to Work by Tom Davenport. Tom has written several well respected books. Reading Competing on Analytics in 2008, provides me stellar view of business metrics. Keeping Up with the Quants and Big Data at Work both reveal deep insights every organization must absorb to understand predictive analytics and big data. Surprisingly, the AI Advantage falls flat by comparison.

the ai advantage

The book’s pitch is well researched, yet there is a surprising lack of unique cases compared to his three books above. Likewise, the opening chapter “Artificial Intelligence Comes of Age—Slowly” provides a general overview to IBM’s Watson. Small hits, and yet a larger unfocused ability of Watson to move the needle on cancer research.

The promise of AI’s subset, machine learning (ML) is very over-promoted across today’s IT sales marketplace. The opening chapter reveals some deep AI shortcomings that should not be ignored.

Meanwhile, examples throughout the book refer to the Robotic Process Automation (RPA), a somewhat flavor of machine learning. Likewise, this extends into Chapter 2: AI in the Enterprise, the impact of AI for knowledge workers. This type of technology advance is impacting a cognitive advantage in healthcare.

Surprisingly, The AI Advantage released in 2018. But the role of AI driven Deep Fakes is missing. Launched in 2014, Generative Adversarial Network (GAN) technology may indeed be the most contested application of ML.

16 Million views of a Deep Fake application on YouTube

While amusing for movies and celebrities, certainly there are significant impacts upon society regarding government, corporations, and foreign relations. Shockingly the manipulation of voice has already resulted in financial transfers to criminal organizations.

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Latest Read: Keeping Up with the Quants

Have been looking forward to Tom Davenport’s Keeping Up with the Quants: Your Guide to Understanding and Using Analytics for longer than I care to admit. I throughly enjoyed his book Competing on Analytics all the way back in 2008. His followup Big Data@Work provides the same scope for business regarding the emerging era of Big Data.
Keeping Up with the Quants: Your Guide to Understanding and Using Analytics Tom has truly mastered the role of business analytics for well over two decades. He is acknowledged as revealing the path of metrics and just as important how success can be defined by adopting a mindset of analytics over intuition. It should be no surprise that I am a big fan of Tom Davenport.

Seems like a lifetime ago in the competitive and fast changing world of analytics. Quantitative analysis with a side of regression is not a diner order but a key skill to identify patterns in data.

An easy read with great common sense approaches for leaders to understand and professionals to embrace it proves not only how business gains insights but how to defend Kobe Bryant.

On the heels of reading Nate Silver’s bestseller The Signal and the Noise, Davenport reveals how quants have not only broken down NBA basketball defensive measures to each quarter when playing Bryant and the Lakers but how to guard him in a last possession game scenario.

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Latest read: Big Data at Work

Big Data at Work is a good book for reviewing tested analytics case studies by Tom Davenport. As I began reading this I found myself reading an update to Tom Davenport‘s great analytics book Competing on Analytics that I read in 2008 which IMHO really set the standard. Big Data at Work is the follow up with tested business cases.

big data at workIt seemed like an eternity that analytics are now realized as a critical business strategy for universities. Peter Drucker said it best: if you cannot measure it, you cannot manage it.

While much shorter than his Competing on Analytics, Big Data at Work is a must read. In Higher Education alone the Big Data at Work case studies by Davenport can serve as near perfect blueprints in the dynamic world of campus networks and services migrating to cloud.

Davenport needs to convince nobody that Big Data is a growing field, yet even in 2014 the number of colleges offering degrees in Big data science is not yet up to speed. More importantly he shares how traditional Business Intelligence is struggling to adjust to the analytics and big data era.

For as much as Big Data at Work contributes to the requirements in both technology and IT professionals, his suggestions that management stands in the way of more game changers outside of Silicon Valley. Yes Hadoop and MapReduce have forever empowered LinkedIn, Google, Yahoo and other startups. Healthcare, banking and insurance are markets who have already embraced and are excited about the abilities of big data for their customers.

Davenport is pretty upfront about what is needed: colleges have not fully embraced Big Data. Their mistake is assuming Big Data is a Computer Science degree. A good chapter of this book reflects on the inability of management to adopt Big Data for today’s competitive market. Is it surprising to see only a hand full of college programs sending grads to the likes of Google? More and more companies are looking to regional campus partnerships for Hadoop big data efforts. Yet many of those colleges still have no existing undergraduate or masters-level degrees in Big Data.

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Latest read: Competing on Analytics

How can you compete today in a globalized, highly competitive world? One very smart solution: Analytics. From Google and Amazon to the Boston Red Sox organizations (yes sports teams included) are succeeding by competing on analytics with proven results. Just ask the Yankees…
competing on analyticsCompeting on Analytics: The New Science of Winning from Harvard Business School Press is simply a must read for your organization. New data analysis tools and the internet have changed the rules for competition.

This book is not about Google Analytics. This book has a focus on business intelligence, analysis and data reporting that changed the competitive landscape. Consider this NY Times article about the use of analytics in the Boston Celtics organization.

It would be a mistake to think your organization is immune to the lessons shared in this book. I was even surprised how poorly my former employers rate in this book. Some feel colleges need not apply business intelligence to admissions, continuing education, communication and strategic planning. This book proves that notion dead on arrival.

The shift in data gathering tools and enhanced analysis proves this a key tool for any organization moving forward in a tough economy and market with a shrinking pool of customers. Your probably losing prospects to your competition as a result of analytics and business intelligence conveyed in smart communication.

Michael McIntyre taught me lessons regarding You Don’t Know What You Don’t Know (YDKWYDK) and how it deeply impacts organizations. The single key to winning with analytics is the total support by the CEO — from the top down — and this is where most organizations simply fail.

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