Raise your hand if your company is making more than 15!
1. Day-dreaming that analytics is a plug & play magic wand that will bring very short term ROI. Well executed basic excel models might have brought quick wins in the…
Since data is now omnipresent, it has become critical for any business looking to not only remain competitive but also stay far ahead of the curve, to properly leverage the potential of this data. This assertion holds especially true for the pharmaceutical industry since there are a variety of factors to contend with and necessarily have much more at stake as compared to other sectors. And because of the need for tools and resources to help enhance various aspects of the Pharma business’…Continue
Added by Ryan Williamson on December 19, 2019 at 8:54pm — No Comments
The data science valley of despair is real. Time after time, leaders who’re well-versed in case studies and industry research extolling the returns of data-driven insights seek to innovate their business—and land in a hole of frustration and write-offs. It may be more accurate to call it a crater of despair given that Gartner predicts 85% of data science projects will fail (2018). What do the 15% of successful data science projects have in common? A…Continue
Let me start off with a few common assumptions about the subject of this write up "Four Powerful People Skills For Data Scientists", and my take on each of them based on my experience and observations.
1. Common Assumption: People skills are just "fluffy" soft skills
Soft skills are often referred to as "the fluffy stuff". People skills in particular, top the list of fluffiness, in many people's…
Added by Rafael Knuth on June 26, 2019 at 4:30am — No Comments
"We used computer vision, deep learning algorithms and sensor fusion, much like you’d find in self-driving cars. We call it -Just Walk Out’ technology"
Much to the surprise of everyone in the retail industry, Amazon launched a new format of stores called "Amazon Go." The most interesting feature of these stores is that shoppers will not have to check out at a counter with a clerk or even with an automated kiosk. Shoppers simply have to swipe into the store with an app,…Continue
Added by Mahesh Kumar CV on May 4, 2019 at 9:00am — No Comments
Companies are ramping up their adopting of cloud-based Software-as-a-Service applications. Public cloud spending is expected to reach over $206 billion in 2019.…Continue
Added by Evan Morris on March 4, 2019 at 9:00pm — No Comments
Players in ecommerce, entertainment, finance, Internet and social media space drive and influence risk indicators for not just for themselves but for users of Internet and increasingly to larger society as side effects spread to social, political and economic scenarios. Any risks from above domains are dominant and may easily be extrapolated in domains too.
There are five risks that may influence society negatively and turn in to resistance force for adoption of digital…Continue
Added by Chandra Shekhar on January 1, 2019 at 11:00pm — No Comments
Two former CAOs Make a Compelling Case for the CAO to Report to the CEO to build out an AI and Data Science Accountability COE.
Anthony Branda, MBA, Ph.D., Kevin Kramer, Ph.D.
Added by Pedro URIA RECIO on October 27, 2018 at 8:01pm — No Comments
More organizations are adopting data-driven and technology-focused approaches to business and hence the need for analytics expertise continues to grow. As a result, career opportunities in analytics are around every corner. Due to this identifying analytics talent has become a priority for companies in nearly every industry, from healthcare, finance, and telecommunications to retail, energy, and sports.
In this blog, we will be talking about different career paths and option in the…Continue
Added by Divya Singh on October 17, 2018 at 6:30am — No Comments
With the rise of IoT devices (Internet of Things), being able to analyze and visualize live streams of data is becoming more and more important. For example, you could have sensors like thermometers in machines or portable medical devices like pacemakers, continuously streaming data to a streaming service like Kafka. PixieDust makes it easier to work with live data inside Jupyter Notebooks by providing simple integration APIs to both the PixieApp…Continue
Added by Packt Publishing on August 16, 2018 at 1:30am — No Comments
Added by Matthew Gierc on August 4, 2018 at 10:30am — No Comments
Enterprises are learning fast about the relevance and use of AI and Cognitive Computing platforms. Before adopting AI and Cognitive Computing platforms, enterprises must focus on designing the right strategy for their business. A data-driven strategy is very important to derive the maximum benefit from the platform that will help to interpret data and provide accurate…Continue
The world is adapting and shaping around IoT technologies. In combination with 5G network connectivity, companies are preparing themselves for this constant shift to the progression of these technologies.
Network operators, telcos, and IoT companies are coming together to promote an ecosystem where customers can have great…Continue
Added by Ronald van Loon on January 30, 2018 at 7:29pm — No Comments
Today’s world is all about “Innovate or perish” and the same is applicable across industries, including IT sector. It is constantly changing everything we see and function through its innovations affecting almost every corner of our lifestyles. Rich or poor, technology plays a vital role in many aspects. Now whether you are a budding startup or a well-established enterprise, data is something that has been and will always be an invaluable aspect of all companies across the globe. Due to…Continue
Added by Nishtha Singh on December 27, 2017 at 3:30am — No Comments
I recently had another client conversation about optimizing their data warehouse and Business Intelligence (BI) environment. The client had lots of pride in their existing data warehouse and business intelligence accomplishments, and rightfully so. The heart of the conversation was about taking costs out of their reporting environments by consolidating runaway data marts and “spreadmarts,” and improving business analyst BI…
Added by Bill Schmarzo on November 18, 2017 at 7:00am — No Comments
The research firm Technology Business Research (TBR) recently came out with a report titled, “Winning The Business Of Digital Transformation Services Requires A Process-Led Approach” authored by Sebastian Lagana and Jennifer Hamel. The report is full of good nuggets, but I especially liked the way that they categorized the 3 phases of Digital Transformation:
Added by Bill Schmarzo on November 12, 2017 at 5:00am — No Comments
A strong declaration from a historically antagonist foe should put chills in the hearts of Americans preparing themselves for the world ahead: Russian President Vladimir Putin says the nation that leads in AI will be the ruler of the world … The ruler of the world!
From the article (with some modification to avoid political landmines), we get the following:
“The development of artificial intelligence has increasingly become a national security…
Added by Bill Schmarzo on November 4, 2017 at 6:00am — No Comments
Since releasing the University of San Francisco research paper on “How to Determine the Economic Value of Your Data” (EvD), I have had numerous conversations with senior executives about the business and technology ramifications of EvD. Now with the release of Doug Laney’s “Infonomics” book that builds upon Doug’s EvD work at Gartner, I expect these conversations to intensify. In fact, I just traveled to Switzerland to discuss the potential business and technology…
This blog was written with the thoughtful assistance of David Leibowitz, Dell EMC Director of Business Intelligence, Analytics & Big Data
So data warehousing may not be cool anymore, you say? It’s yesterday’s technology (or 1990’s technology if you’re as old as me) that served yesterday’s business needs. And while it’s true that recent big data and data science technologies, architectures and methodologies seems…
A long, long time ago (maybe 10 years) the data analytics industry was fairly easy to define and track. Back in that pre-historic era SAS was considered the gold standard of analytics companies with a comprehensive range of solutions addressing the demands of many industries. Given the relative paucity of data, analytics tended to focus on those industries that generated usable data. Companies that were part of the analytics universe back then would have included:
Added by Gregory Thompson on August 8, 2017 at 12:30pm — No Comments