Many predict, and warn, that the Artificial Intelligence (AI) Revolution will change the world – and possibly the very essence of mankind. But society-changing revolutions are not new. History is full of such revolutions. What can we learn from those previous revolutions that might provide an indication as to how this AI revolution might play out?
We will examine two other revolutions – the Industrial Revolution and the Information Revolution… Continue
Added by Bill Schmarzo on June 26, 2018 at 3:30pm —
I was recently asked to conduct a 2-hour workshop for the State of California Senior Legislators on the topic of “Big Data, Artificial Intelligence and Privacy.” Honored by the privilege of offering my perspective on these critical topics, I shared with my home-state legislators how significant opportunities await the state. I reviewed the once-in-a-generation opportunities awaiting the great State of California (“the State”), where decision makers could vastly…
Added by Bill Schmarzo on February 13, 2018 at 5:30am —
Organizations looking for justification to move beyond legacy reporting should review this little ditty from the healthcare industry:
The Institute of Medicine (IOM) estimates that the United States loses $750 billion annually to medical fraud, inefficiencies, and other siphons in the healthcare system…
Added by Bill Schmarzo on January 26, 2018 at 1:30pm —
“Big Data is dead.” “Big Data is passé.”
“We no longer need Big Data; we need Machine Learning now.”
As we end 2017 and look forward to big (data) things in 2018, the most important lessons of 2017 – in fact, maybe the most important lesson going forward – is that Big Data is NOT a thing. Big Data isn’t about the volume, variety or velocity of data any more than car…
Added by Bill Schmarzo on January 20, 2018 at 5:30am —
I was recently a guest lecturer at the University of California Berkeley Extension in San Francisco. On a lovely Saturday afternoon, the classroom was crowded with students of all ages learning the tools of the modern economy. The craftspeople of the “Analytics Revolution” were busy learning new skills and tools that will prepare them for this Brave New World of analytics. I was blown away by their dedication!
As we teach the next generation, it’s important…
Added by Bill Schmarzo on January 19, 2018 at 5:00am —
Most organizations’ IOT Strategy look like a game of ‘Twister’ with progress across important IOT capabilities such as architecture, technology, data, analytics and governance; variables comprising a series of random investments and decisions.…
Added by Bill Schmarzo on January 13, 2018 at 5:00am —
My good friend Vinnie participates in an automobile insurance program that rewards him for good driving behaviors; the better driving behaviors he exhibits, the more money he saves on insurance. You stick a device into the vehicle’s diagnostic port (usually under the steering wheel in most vehicles manufactured after 1996), and the automobile insurance company tracks your driving behaviors and offers you automobile insurance discounts based upon the quality of your…
Added by Bill Schmarzo on December 20, 2017 at 3:30am —
Special thanks to Brandon Kaier (@bkaier) for his research and thoughts on the Digital Twins concept.
Unilever, one of the Consumer Package Goods (CPG) industry’s titans with over 400 brands and annual sales greater than $60B, recently bought Dollar Shave Club for $1B. Now normally I would not think twice about such an acquisition, peanuts in the world of mergers and…
Added by Bill Schmarzo on December 7, 2017 at 12:00pm —
This blog is written in collaboration with the witting and insightful Matt Maccaux and his leading edge work around our elastic data platform and data lake.
“Our organization is abuzz with the concept of data lakes!” a customer recently told me. And rightfully so, as the data lake holds the potential to help organizations become more effective at leveraging data and analytics to power their business models. That’s exactly what we propose when we…
Added by Bill Schmarzo on October 14, 2017 at 2:30pm —
You can’t get to the “What” and the “Why” by focusing on the “How”
In the gold rush to “monetize” IOT, organizations are frantically installing sensors on everything that moves (and some things that should not move), hoping that someone in the business will figure out a way to get financial value out of the resulting data.… Continue
Added by Bill Schmarzo on October 8, 2017 at 1:00pm —
Data exhaust? No, not exhaustion from data. Simply put, data exhaust is the data that a business collects that it doesn’t currently think it can put to use. The biggest producers of data exhaust are manufacturers and sometimes retailers. Especially manufacturers of appliances, vehicles and equipment and large chain retailers. Most software or SaaS companies use almost all the data they collect as they are more likely to be keenly aware of their data and how to find value from it. For the… Continue
Added by Giles Crouch on June 15, 2017 at 10:00am —
The song will never work. It’s too long, too complex,
too confusing and doesn’t fit into any musical genre.
– Radio stations’ feedback to Queen aboutBohemian Rhapsody
Search of greater return on Big Data investment or generating alternative revenue stream for your organization.No matter the situation, let’s go through some of the most common myths of data monetization.
- Not Every Bit… Continue
Added by vivek upadhyay on October 13, 2015 at 10:57pm —
Data Monetization is the natural response to financial demands of storing and managing big data, the skills it requires to manage that data.
As Gartner reports "Data Monetization is increasingly becoming a significant business activity for most companies. While less then 10% of Fortune 1000 companies have a data monetization strategy today, it is projected that 30% of businesses will monetize their data and information assets by 2016.”
Added by vivek upadhyay on September 24, 2015 at 9:01pm —