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Microsoft Unveils New AI Tools and Services at Build 2019

May 6, 2019 |

Whether you’re interested in using machine learning to build intelligent chatbots, wrangling big data flows, or deploying scale-out databases in the cloud, there was a little something for everybody unveiled today at Microsoft Build 2019. Read more…

Enterprise Reclaims Role as World’s Data Steward

May 3, 2019 |

The enterprise is fast becoming the world’s data steward—again.

In the recent past, consumers were responsible for much of their own data management and storage, doing so locally through endpoints like smartphones, personal PCs, and IoT devices. Read more…

Cloud Analytics Proving Costly for Some

May 2, 2019 |

A great migration to the cloud is currently underway as companies look to get out of the business of hosting and supporting their own IT gear. The rapidly growing sophistication of big data analytics software on public cloud platforms like AWS and Azure is another big draw. Read more…

Three Ways to Close Your Company’s Data Science Skills Gap Now

May 1, 2019 |

It should come as no surprise that demand for folks with data science expertise exceeds supply. In fact, according to some McKinsey, there are only half as many qualified data scientists as needed. Read more…

In 2019, Disorderly Is the New Orderly

Apr 30, 2019 |

With spring right around the corner, what is more satisfying than a good ‘spring cleaning’? The launch of Marie Kondo’s series, Tidying Up with Marie Kondo, on Netflix this past January has fueled a mass-movement towards organization in 2019, already prompting many to scour their homes and beeline to their nearest charity shops with bag loads of items that are no longer ‘sparking joy.’ Kondo is encouraging us to clear the clutter out of our lives. Read more…

Forecasting AI Adoption in Retail: A Mixed Bag

Apr 29, 2019 |

You don’t have to look far to see the impact that artificial intelligence is having on the world around us. Across multiple facets of work and play, we’re surrounded by smart devices and applications that are strangely prescient at anticipating our wants and needs. Read more…

Big Data Challenges of Industry 4.0

Apr 25, 2019 |

The original Industrial Revolution, which straddled the second half of the 18th century and the first half of the 19th century, transformed the world as mechanized, engine-powered production processes and tools replaced manual methods. Read more…

Data Pipeline Automation: The Next Step Forward in DataOps

Apr 24, 2019 |

The industry has largely settled on the notion of a data pipeline as a means of encapsulating the engineering work that goes into collecting, transforming, and preparing data for downstream advanced analytics and machine learning workloads. Read more…

Paving the Way to Success in AI and Intelligent Process Automation

Apr 23, 2019 |

While a lot of AI implementations are still exploratory these days, there are many examples of companies starting to gain real traction behind the scenes – applying AI to automate manual, back-office business processes. Read more…

Don’t Make These Data Science Mistakes in IoT

Apr 22, 2019 |

Data science is tough enough already. Whether you’re looking to act upon data collected from IoT sensors or human generators, don’t make it harder than it has to be by making these three common data science mistakes. Read more…

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