Google edges into cloud analytics, big data, machine learning alongside Amazon, IBM, Microsoft


Google jumped into the emerging space for analytics and big data when it revealed the new Cloud Machine Learning suite of services. "There's a new architecture emerging," Eric Schmidt, executive chairman of Google parent Alphabet, said at Google's GCP Next last week. "In a year, you will use machine learning to do something better than humans have been doing. Schmidt is not alone in that thinking. Google rivals Amazon, IBM, and Microsoft, in fact, have made similar cloud computing moves of late.

A Dose of AI Could Be the Cure for Hospital Data Center Cyberattacks in 2017


I know how terrible healthcare records theft can be. I myself have been the victim of a data theft by hackers who stole my deceased father's medical files, running up more than $300,000 in false charges. I am still disputing on-going bills that have been accruing for the last 15 years. This event led me on the path to finding a solution so others would not suffer the consequences that I continue to be impacted by, but hospitals and other healthcare providers must be willing to make the change. The writing is on the wall.

Dell aims for DNA sequencing advancements with unstructured data storage


Dell Technologies has announced the latest addition to its Isilon family, an all-flash scale-out network-attached storage (NAS) system offering up to 92.4 petabytes of storage capacity and up to 25M IOPS and 1.5TB per second of bandwidth, designed to handle next-generation applications and unstructured workloads. Speaking at the inaugural Dell EMC World in Austin, Texas, senior vice president and general manager of Isilon Phil Bullinger said there are a number of vertical markets the organisation believes the Isilon all-flash is going to have a significant impact in, with life sciences -- in particular, DNA sequencing -- one of the markets he is most excited about. "None of this matters unless we're actually doing something with it," he said. "We think it's going to be transformational." Bullinger explained that with DNA sequencing comes mountains of unstructured data, with datacentres at capacity trying to keep up.

How big data and machine learning is revolutionising biological research


Once the three-billion-letter-long human genome was sequenced, we rushed into a new'omics' era of biological research. Scientists are now racing to sequence the genomes (all the genes) or proteomes (all the proteins) of various organisms – and in the process are compiling massive amounts of data. For instance, a scientist can use'omics' tools such as DNA sequencing to tease out which human genes are affected in a viral flu infection. But because the human genome has at least 25,000 genes in total, the number of genes altered even under such a simple scenario could potentially be in the thousands. Although sequencing and identifying genes and proteins gives them a name and a place, it doesn't tell us what they do.

Why your customer-facing apps need to shift to intelligent apps


If your current use of data and analytics is filling out dashboards and contemplating workflow changes you are missing a far more impactful opportunity. Enterprise analytics, business intelligence (BI) and application development are, at this very moment, combining and undergoing a major metamorphosis that you need to become a part of – now. We've all heard the numbers: Gartner estimates that by 2020, twenty-one billion "things" will in some way be connected to the internet, all sending data 24x7: sensors, refrigerators, televisions, cars, pipelines and phone-based ECG monitors ad infinitum. CSC estimates that by this same year we'll be producing forty-four times more data than in 2009. Business leaders are no longer satisfied with just reports and more importantly, your customers lack the patience to wait for you to adapt to their rapidly changing needs and ways of engaging with you.