Tag: big data

Transcending Regulatory Compliance: Creating Business Value from Data Governance

Jun 27, 2016 |

Data governance has emerged to the forefront of financial services ever since this vertical became inundated with increasing and evolving regulations, penalties, and regulatory entities at the end of the last decade. Stringent compliance requirements not only mandate that organizations provide accountability for data, but traceability, provenance, and auditability as well. The most common response to these drivers is to build silos for specific regulations from the labyrinth of information management systems deployed throughout an organization, which frequently results in: Read more…

Avoid These Five Big Data Governance Mistakes

Jun 22, 2016 |

If you’re embarking upon a big data project, then you’re likely running into one or more data management challenges. The decisions you make regarding how you enforce data governance and how you control data flows can make or break your project. Here are five data governance mistakes you should avoid: 1. You Have No Data Governance Strategy If you said to yourself, “Huh, what’s data governance?” then you’re likely making this mistake. Data governance refers to an overarching strategy that Read more…

Will the Fall of ‘Society’s Genome’ Trigger the Next Dark Age?

Jun 20, 2016 |

Over the past 20 years, we’ve witnessed a remarkable transformation of our society, and digital information is at the very heart of it. But what if we were to suddenly lose all this data that we’ve amassed, or a big chunk of it? It would be, quite simply, devastating to Western civilization, argues the CEO of Spectra Logic in a new book. In the new book, titled “Society’s Genome: Genetic Diversity’s Role in Digital Preservation,” Spectra Logic CEO Nathan Thompson Read more…

Behavior I/O: Using Machine Learning to Empower Human Learning

Jun 17, 2016 |

At lunch last week, I learned that a couple colleagues were engaged in a little duel—trying to out-walk each other, as tracked by their new Fitbits. Self-improvement was definitely the goal, but seeing peer performance and benchmarks provided the required motivation to achieve that goal. If you’re a data science or analytics leader, your job is to manage analysts who produce insights.  Insights drive innovation which in turn drive profits.  So, if you want to drive your business through these Read more…

Speak Easy: Why Voice Data Is Poised for Big Growth

Jun 14, 2016 |

Thanks to continued improvements in the accuracy voice recognition technology, we’re closer than ever to having a natural conversation with computers, without the interaction devolving into a frustrating, phone-throwing experience. As Mary Meeker explains in her recent Internet Report, we could be near an inflection point for voice-based interactions. When Apple (NASDAQ: AAPL) first launched Siri on iPhones four years ago, the personal assistant was a bit of a novelty. It was fun to ask Siri off-the-wall questions and see Read more…

Data Science Operationalization in the Spotlight at Leverage Big Data ’16

Jun 9, 2016 |

How do you create business value from data science? It may be easy to answer from a theoretical standpoint, but actually turning data into business value in the real world is another matter entirely. This week, dozens of the brightest minds from the world of big data attended Datanami‘s third annual Leverage Big Data event to discuss their big data experiences and share tips on how to operationalize data science in the real world. The three-day event was well attended Read more…

Intel Xeon E7 Balloons In-memory Capacity, Targets Real-Time Analytics

Jun 7, 2016 |

Who crunches more data faster, wins. It’s this drive that cuts through and clarifies the essence of the evolutionary spirit in the computer industry, the dual desire to get to real time with bigger and bigger chunks of data. The locomotive: HPC technologies adapted to enterprise mission-critical data analytics. With its memory capacity of up to 24TB in an eight-socket system, the largest capacity in the industry according to Intel, the new Xeon processor E7-8800/4800 v4 allows massive datasets to Read more…

IBM Seeks Data Science Unity with New Spark-Based ‘Experience’

Jun 7, 2016 |

IBM today launched what it’s calling the first enterprise application for data science collaboration. Called the Data Science Experience, the free, cloud-based offering is aimed at enabling data scientists to perform tasks like prepping data and building machine learning models in an open and shared environment. Developed on Apache Spark, IBM likens the Data Science Experience to an integrated development environment (IDE) where data scientists have a place to do their work. Data scientists can work with the software, which Read more…

Human Insight Is Key To Utilizing Data

Jun 6, 2016 |

For some, the big data revolution represents a clear progression toward a new (and inevitable) way of seeing the world. Like the driverless cars that pilot themselves down I-280 during morning rush hour in San Mateo County, big data seems to offer a tantalizing glimpse of a world free from nearly all human error. The organizational theorist Geoffrey Moore goes so far as to argue that “Without big data, you are blind and deaf and in the middle of a freeway.” Read more…

Slow But Steady Progress Spotted in Operationalization of Big Data

Jun 2, 2016 |

It might be a tough word to get out of your mouth, but “operationalization” remains a central element of the big data opportunity. And according to a new Capgemini and Informatica study titled “The Big Data Payoff: Turning Big Data into Business Value,” companies are making slow but steady progress in the operationalization of big data projects. To operationalize something in the business world is to make it tangible, to make it real and repeatable and reliable. In the context Read more…