Manju Bansal of the MIT Technology Review recently wrote, “The year was 1961. Computers were still in their infancy, and the race to the moon was just beginning. Edward Lorenz, an MIT meteorologist, was developing a weather- prediction model. Lorenz theorized that a miniscule occurrence, such as a tiny butterfly flapping its wings in the Amazon, could hypothetically set in motion a chain of events that could cause tornadoes to touch down in Texas a few days later. That model (illustrations of which visually resembled a butterfly) eventually came to be known as the butterfly effect.” Read more
Research firm Forrester at the end of September issued its Forrester Wave: NoSQL Key-Value Databases, Q3 2014 report. The report looked at seven enterprise-class vendors in the space: Amazon Web Services, Aerospike, Basho Technologies, Couchbase, DataStax, MapR Technologies, and Oracle.
Noting that the current adoption of NoSQL is at 20 percent and is likely to double by 2017, Forrester principal analyst and report author Noel Yuhanna and his co-authors explain that top use cases for key-value database include social and mobile apps, scale-out apps, Web 2.0, line-of-business apps, big data apps, and operational and analytical apps.
That said, he also notes that the lines between key-value store, document database and graph database NoSQL solutions are blurring, as vendors look to satisfy broader enterprise needs and better appeal to app developers. “Relational database management system vendors, such as Oracle, IBM, Microsoft and SAP, will broaden their current relational database products to include key-value, graph and document features and functionality to deliver more comprehensive data management platforms in the coming years,” the report states.
Alok Prasad and Lee Feigenbaum of Cambridge Semantics recently wrote for CMS Wire, “Over the past few years, major enterprises have shown interest in combining semantic web technology with big data for added value. Let’s take a look at what enterprises are seeking and why they think semantic web can make big data smarter… In traditional big data IT solutions, the data model and the IT solutions are designed to address specific business needs and to handle specific data types and data sources. As the business needs and data sources change, the IT solutions no longer work and new data marts and new solutions must be built.” Read more
Interop New York took place at the Jacob Javits Center in Manhattan last week. The semantic web wasn’t a focus of the show, but innovation had its place among the various keynotes and sessions. And innovation certainly is a theme that goes hand-in-hand with the semantic web.
In that spirit, we’ll share some comments from some of the speakers about how they embraced concepts and argued for changes that they believed would make them more innovative companies – even when that was a scary thing to do. With any luck, their experience, advice and thoughts may give you some direction when it comes to taking your ideas about how semantic web technologies could help your own business become more innovative, and acting on them:
- From Michael Bryzek, co-founder and CTO, Gilt: In discussing the e-retailer’s move to a micro-services architecture, which he said supports the concept of autonomous innovation and is part of implementing a culture where employees can thrive, Bryzek told the audience that accepting the risk of failure was the first step. “Start with the assumption you’ll fail,” he said. “If you want a chance at innovation, that alleviates some of the pressure because we all agree we are going to do something risky and we are in it together now.” There are only so many great companies in the world, and it’s true you might not make it to be among them, but “it sure is fun and great to work together to try and build something amazing.”
Anu Passary of Tech Times reports, “Microblogging site Twitter is gearing up to partner with the Massachusetts Institute of Technology (MIT) on a new project, which hopes to gain a better understanding of online interactions. Twitter is investing $10 million for the development of the Laboratory for Social Machines (LSM) over a five-year period. The new MIT Lab will produce a new social networking platform, analytic tools and also mobile apps that will connect individuals better. The LSM will be able to access Twitter’s live streams of tweets and the site’s public archives right from the time Twitter began. The project will focus on the creation of novel technology that can understand ‘semantic and social patterns’.” Read more
NEW YORK, July 7, 2014 (GLOBE NEWSWIRE) — EXL, a leading business process solutions company, today announced that it has acquired Blue Slate Solutions, LLC, enhancing its business process management capabilities. By adding Blue Slate’s consulting and execution acumen, EXL strengthens its ability to apply technology solutions to improve clients’ business operations.
Blue Slate specializes in transforming operations through business process optimization, data integration and analytics, leveraging innovative techniques and technologies. Read more
Bernard Marr recently wrote, “It’s been estimated that by 2015, almost two million people will be employed in big data jobs in the US. Hal Varian, Google’s chief economist, is quoted as saying “…the sexy job in the next 10 years will be statisticians” and Tom Davenport, Distinguished Professor at Babson College, believes that a data scientist has the sexiest job of the 21st century. So what are these sexy jobs? Here’s a quick look at some of the positions available today that might allow you to break into the glamorous and exciting world of the big data professionals.” Read more
Greg MacSweeney of Wall Street and Tech recently wrote, “It’s relatively easy to find information on public companies. Bloomberg, Thomson Reuters, and Dun & Bradstreet, for example, all have in-depth information that is accessible to anyone with a subscription. But where do investment bankers, venture capitalists, and other investors find reliable information about private companies? If you talk to investment bankers, or other investors who are looking for information on non-public companies, it quickly becomes apparent there is no easy answer. Investment bankers rely mostly on Google searches and a combination of information gathered from Hoovers, S&P Capital IQ, Dun & Bradstreet, and others. But it is a laborious manual process to do due diligence on private companies.” Read more
Janet Wagner of Programmable Web reports, “FirstRain, a personal business analytics platform provider, has announced the launch of a FirstRain API that allows enterprise developers to incorporate FirstRain platform functionality into third-party applications and systems. The new FirstRain API provides programmatic access to real-time data from the proprietary FirstRain business graph, which the company says ‘extracts the deep, interconnected relationships between companies, businesses and markets’.” Read more
Ron Miller of TechCrunch reports, “IBM today announced a new product called Watson Analytics, one they claim will bring sophisticated big data analysis to the average business user. Watson Analytics is a cloud application that does all of the the heavy lifting related to big data processing by retrieving the data, analyzing it, cleaning it, building sophisticated visualizations and offering an environment for communicating and collaborating around the data. And lest you think that IBM is just slapping on the Watson label because it’s a well known brand (as I did), Eric Sall, vp of worldwide marketing for business analytics at IBM says that’s the not the case. The technology underlying the product including the ability to process natural language queries is built on Watson technology.” Read more