The misuse of opioids overtook road accidents as the most common cause of accidental death in the US. In Canada, the situation has been called a “national health crisis.
You might be asking, “If it works for Macy’s, Walmart and Kroger, will it work for me? What are my key benefits? Is it affordable?”
Deploying a robust retail analytics platform requires a data centre and software designed to pull information from myriad sources—social media, internal sales and account..
While security professionals have been sounding the alarm over too-lax security policies for years, those calls have largely fallen on deaf ears at the c-level—in the C-suite as well as among consumers. However, the wider population was treated to a wakeup call about the troubling state of cybersecurity during the 2016 political campaign season.Read the source article at Datanami..
2017 is finally here. But what will the New Year bring? We leave that up to our crack team of industry prognosticators, who have taken it upon themselves to issue a range of predictions for the field they know best: big data analytics.
What will happen in big data and advanced analytics this year? Nobody really knows. While crystal balls are generally unreliable indicators of future events, it’s never stopped us from trying to see into the future anyway. With that said, here’s our first batch of 2017 big data predictions from 10 prominent names in the field.Read the source article at Datanami..
Himanshu Gupta, Director of Strategic Accounts, Fuzzy Logix, feels, "Data Analytics is a tool set that helps organization move towards a business goal; it is not a goal in itself. By understanding the business goal, it will be much easier for analytics initiatives to remain focused and stay useful. The starting point of the initiative is clear and explicit CXO commitment, coupled with a team skilled in statistics, analytics, IT, business domain and human behavior.
During the initial stages, e.g da..
Consumers have more information on products than the biggest manufacturers have had at any time in history. Gone are the days, when organizations loaded data overnight and took decisions the next day.Read the source article at Innovation Enterprise..
Machine Learning (ML) has revolutionized the world of computers by allowing them to learn as they progress forward with large data sets, thus mitigating many previous programming pitfalls and impasses. Machine Learning builds algorithms, which when exposed to high volumes of data, can self-teach and evolve. When this unique technology powers Artificial Intelligence (AI) applications, the combination can be powerful. We can soon expect to see smart robots around us doing all our jobs – much quicker,..
We are anticipating an exponential growth in the availability of genomics big data, thank to Next-generation Sequencing (NGS) platforms that have reduced the time and cost for sequencing genomes. NIH data (see Figure 1) indicates a reduction in the cost of sequencing an entire genome from $100M in 2001 to around $1,000 in 2015. In a landmark diagnostic genomics case study in 2015, the time required to..