"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"

-Amazon

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,…

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.…

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…

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.

• Company CEOs today are being bombarded by C-suite executives with urgent requests for significant funding for Data Science and anything that can be labeled Artificial Intelligence (AI):
• The CMO wants better segmentation, dynamic predictive scoring…

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…

(This post originally appeared here) 

In a…

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…

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…

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…

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:

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:

• risk…

Let’s start with the bottom line - there is no excuse for virtually any company today, regardless of size or manpower (and within reason), not to be making data analyics a part of their normal business routines. Traditional objections such as cost, resources and expertise no longer cut the mustard.  As many observers have noted, a company’s internally generated data is a key asset that needs to be leveraged in the same way as any other corporate asset if the…

It’s hard to get into the world of the Internet of Things (IOT) without eventually talking about Digital Twins. I was first exposed to the concept of Digital Twins when working with GE. Great concept. But are Digital Twins only relevant to physical machines such as wind turbines, jet engines, and locomotives? What can we learn about the concept of digital twins that we can apply more broadly – to other physical entities (like contracts and agreements) and even humans?…

As an analyst, our first reaction when we get the data to analyse is to ask an ETA. Then we plan to attack the data left-right-centre and crush the maximum juice out of it with an exhaustive list of analysis techniques.

Oh dear, we got it all wrong!

This approach might get 50 slides to present the analysis but would miss on the most crucial aspect of any analytics engagement: a buy-in from the business folks. Because, since the start, the target of the whole analysis was data,…