Target is looking for a Principal Data Scientist – Business Intelligence in Minneapolis, MN. According to the post, “The Principal Data Scientist anticipates future business needs and identifies opportunities for complex analysis. Gathers and analyzes data to solve and address highly complex business problems and evaluate scenarios to make predictions on future outcomes and support decision making. Designs and drives the creation of new standards and best practices in the use of statistical data modeling, big data and optimization tools for Target.com and Mobile.” Read more
Posts Tagged ‘business intelligence’
Daniel Gutierrez of Inside Big Data reports, “IBM has announced the availability of a cognitive-infused Watson Explorer, a powerful combination of data exploration and content analytics capabilities. Typical organizations only use 12 percent of their data, leaving a wealth of untapped information across the enterprise that could be leveraged to make smarter decisions. Watson Explorer equips users with the information and analytics capabilities which can help them to deliver better performance and real-time results. Watson Explorer has enabled hundreds of customers to connect with their data, build information-centric applications and helped them to improve the quality and speed of their decision making.” Read more
October saw the debut of Cognitive Scale’s cognitive cloud platform, which provides sourcing, analyzing and interpreting data of all sorts and context signals on any public cloud infrastructure. The details of the platform for pulling insights out of massive amounts of multi-structured data are covered in a story you can read at our sister site Dataversity.net. Here, The Semantic Web Blog relays some more information about usage scenarios around its services, according to Matt Sanchez, the company’s founder, chief technology officer, and vice president of products.
The platform includes at its top layer vertical applications, and healthcare is a main focus. Guided care applications have a spot here. The role of care managers becomes more important in the changing world of healthcare costs and reimbursements, where patient engagement – especially of the chronically ill – can keep a pediatric asthma patient, for example, from showing up in the ER room, which translates to a high-cost visit. Today, “provider organizations are more incented to be proactive in care,” says Sanchez, which means asking and analyzing who is at risk right now and what can be done to prevent a negative outcome like that.
Ryan Lawler of Tech Crunch reports that Gridspace “has created an application based on technology that automatically saves and indexes meeting conversations. But the big breakthrough is that, though the magic of machine learning and natural language processing, it can determine which parts of the meeting conversations were most important. I got a demo of the technology at work, with Gridspace CEO Evan Macmillan showing off a beta version of the company’s app for our presentation. With the app open, he walked me through the basics, occasionally telling the app to ‘remember’ certain interesting aspects.” Read more
Derrick Harris of GigaOM reports, “DataRPM, a Fairfax, Va.-based startup that has built a business intelligence product based on search engine technology, has raised a $5.1 million Series A round of venture capital. InterWest Partners led the round, which follows up on a $250,000 seed round the company raised in April. As we explained in a July post about an ‘askathon’ (essentially, a business intelligence hackathon) the company was hosting, DataRPM is based on search technologies and tries to deliver a search-like experience. Data is indexed rather than modeled, and users perform queries in a search bar using natural language.” Read more
FAIRFAX, Va.–(BUSINESS WIRE)–DataRPM, the industry pioneer in cognitive business intelligence, today announced that it has closed a $5.1 million Series A funding round. Led by InterWest Partners and joined by CIT GAP Funds, the round will be used to accelerate DataRPM’s global go-to-market strategy. DataRPM changes the way individuals work with data, making analytics more accessible and easier to use by solving the two main barriers to the adoption of data analysis – time consuming data modeling and usability. The DataRPM business intelligence (BI) platform removes those barriers, automating the data modeling process and employing a natural language question-and-answer interface to simplify data analysis and visualization. Read more
Walt Disney Studios is looking to fill a Business Intelligence and Analytics Graduate PhD Internship in Burbank, CA, this summer. According to the post, “The main focus will be to perform social media monitoring and develop actionable insights for the theatrical team. The theatrical analytics team partners with technology teams and other analytical leaders to develop predictive models, metrics, insights, and related intellectual property that can be forged into business recommendations with the intent to influence decisions prior to a film’s box office release. By receiving access early to the social buzz surrounding pre-released movies, this team will be able to guide our leaders to make more informed decisions leading to increased sales in the consumer marketplace.” The intern will “Focus on the algorithmic evaluation of everything in the social networking domain. Work directly with the business teams to solve hard problems by leveraging statistics and techniques, including design of experiments, AB testing, machine learning, importance sampling, natural language processing, etc.” Read more
Doron Aspitz of Wired reports, “Developed before the rise of Big Data, Business Intelligence, or BI, was developed to change raw data into useful information. BI worked great for a time. Then the size and complexity of available data started to grow rapidly. More data led to an increase in reports, which forced people with domain expertise to manually analyze the reports. Today, BI is widely deployed. Unfortunately, it is actually used by only a small fraction of the people in a business with access to BI systems. Forrester Research estimates ‘the fraction of total employees that use BI applications between 5 and 9%.’ People don’t like to read stacks of reports. Big Data broke BI. Can we fix things by improving the network, processing, and storage systems to make the data machines run faster? Unfortunately, we can’t.” Read more
Here are some final thoughts from our panel of semantic web experts on what to expect to see as the New Year rings in:
Broader deployment of the schema.org terms is likely. In the study by Muehlisen and Bizer in July this year, we saw Open Graph Protocol, DC, FOAF, RSS, SIOC and Creative Commons still topping the ranks of top semantic vocabularies being used. In 2013 and beyond, I expect to see schema.org jump to the top of that list.
Christine Connors, Chief Ontologist, Knowledgent:
I think we will see an uptick in the job market for semantic technologists in the enterprise; primarily in the Fortune 2000. I expect to see some M&A activity as well from systems providers and integrators who recognize the desire to have a semantic component in their product suite. (No, I have no direct knowledge; it is my hunch!)
We will see increased competition from data analytics vendors who try to add RDF, OWL or graphstores to their existing platforms. I anticipate saying, at the end of 2013, that many of these immature deployments will leave some project teams disappointed. The mature vendors will need to put resources into sales and business development, with the right partners for consulting and systems integration, to be ready to respond to calls for proposals and assistance.
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