In the mad-dash to “do something” in big data without a strategy, IT managers and business users alike seem to continuously jump on the latest technology (today it’s Spark) and thus become inevitable case studies for Gartner’s well documented hype cycle.[read more]
Which top Masters Courses should you consider for a great career in data-science? A frequently cited study by McKinsey predicts that by 2018, the United States could face a shortage of 140,000 to 190,000 "people with deep analytic skills" as well as 1.5 million "managers and analysts with the know-how to use the analysis of big data to make effective decisions."[read more]
With creaking IT infrastructures and under-investment in other areas such as plants, equipment, employee training and more, excessive share buybacks aren't just a flawed strategy; they are a dangerous one for the future health of companies across the globe.[read more]
Organizations with genuine passion for its mission have a substantial innate advantage when developing and/or utilizing BI technology. They will uncover more/better/faster new data correlations revealing new business answers drawn from new big data, information management, data analytics and other technologies. This is because they will relentlessly ask more new, piercing questions about their business.[read more]
According to a recent study published by MarketsAndMarkets, the high definition voice market is expected to be worth $2.29 billion by 2019. In comparison, this was just $815.5 million big in 2014. This is a pretty dramatic growth projection for a technology that not even new. HD Voice is basically the marketing buzzword for wideband audio which has been around for nearly three decades. So what exactly is HD voice and what is the reason behind this dramatic growth story?[read more]
Using probabilistic terminology to communicate the “likelihood” of an event occurring to those untrained in understanding such terms, can in some instances lead to the ruin of careers, companies and in worst cases—loss of life.[read more]
Smart Data Collective was selected as one of the Top 50 Data Science Resources by NGDATA. Smart Data Collective was ranked eighth in the category of best data science blogs.[read more]
If you work with Hadoop on a daily basis you already know that data cannot simply be dumped into Hadoop’s file system and be of high value to rank and file business users. To be sure, data management is crucial if you’re planning on Hadoop serving as a true lake or “hub” for all your organization’s data.[read more]
While big data technologies have enjoyed plenty of hype, there’s a new reality setting in regarding getting more value from big data investments. With this in mind, it's OK to step back for a moment, pause your programs for a time if necessary, and—yes, even change your mind about big data.[read more]
Trying to internally “sell” the merits of a big data program to your executive team? Numbers and facts probably won’t make the sales pitch complete. You will also need to appeal to the emotional side of the sale by incorporating the sounds of big data.[read more]
Instead of investments in IT, machinery, buildings and more, CEOs and CFOs are content to predominantly spend cash on stock buy-backs and/or dividends. Deferring CAPEX spend, or “sweating the assets” will work for a little while, but it’s not a strategy for long-term success.[read more]
In the financial world, liquid assets can allow companies to react and capitalize on market opportunities. Liquidity in IT means that companies have enough extra compute firepower, people resources and are agile enough with IT processes to respond to unplanned events and demand, in whatever shape, form or order they arrive.[read more]
There’s much work to do before you can take advantage of cloud resources, and just-in-time planning doesn't cut it. With the flexibility, speed and power that cloud offers, there’s really no excuses to let opportunities to capture unplanned demand pass you by.[read more]
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