2017-11-28 insidebigdata.com 1,864In this contributed article, Mathias Lanni, Executive VP, Marketing for Velocidi, highlights how to properly navigate your data and find the important metrics and KPIs. Proper data handling and analysis will often depend greatly on each individual company, yet there are still clear guidelines a brand manager can follow to make their lives easier - while producing better outcomes for their company and/or client.
2018-01-19 insidebigdata.com 1,240In this special guest feature, Jordan Cardonick, Director of Media Analytics at Merkle, discusses the common pitfalls and missteps that companies fall into when trying to democratize data and insights for their company. It isn’t just about what data you have access to, but how do you ensure it is effectively communicated and embraced and not just how to use it to create a chart, graph or model.
2017-10-22 insidebigdata.com 1,113Our friends over at SAP recently published a study that highlights some really compelling findings around data scientists. There’s a wide gap and serious discrepancy in the level of importance organizations place on data scientists and the number of data scientists they employ. Below are some key statistics from the study, along with a summary infographic.
2018-01-16 insidebigdata.com 1,060Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
2018-01-16 insidebigdata.com 1,019In this special guest feature, Oliver Ratzesberger, Chief Product Officer for Teradata, discusses his new book titled "The Sentient Enterprise" which highlights the future of business decision-making, analytics, AI and deep learning.
2018-09-06 insidebigdata.com 810In this contributed article, Luke Potgieter, tech advisor for John Snow Labs, discusses the important of NLP for the healthcare industry, and offers two common AI-in-healthcare use cases. NLP is a very useful and important tool for use in AI in dealing with unstructured data.
2018-02-06 insidebigdata.com 658Netflix has over 100 million subscribers and with that comes a wealth of data they can analyze to improve the user experience. Big data has helped Netflix massively in their mission to become the king of stream. Our friends over at FrameYourTV developed the compelling infographic below that highlights Netflix's use of big data, specifically interesting statistics, how Netflix gathers big data, and how Netflix uses big data.
2017-12-01 insidebigdata.com 612Our friends over at Domino Data Lab, Inc. have written a new whitepaper "The Practical Guide to Managing Data Science at Scale" that aims to demystify and elevate the current state of data science management. They identify consistent struggles around stakeholder alignment, the pace of model delivery, and the measurement of impact. The root cause of these challenges can be traced to a set of particular cultural issues, gaps in process and organizational structure, and inadequate technology.
2018-06-28 insidebigdata.com 574The costs and process of developing anti-cancer drugs has been an extreme challenge for decades. Today one company, AccutarBio, is harnessing the power of AI to accelerate drug discovery and reform the current "hit-to-lead" drug discovery scheme. The company recently received $15 million in funding (including money from Chinese AI/facial recognition company YITU) and is now partnering with Amgen.
2018-03-11 insidebigdata.com 568In this contributed article, blogger and blockchain technology expert Harsh Agrawal discusses several ways blockchain has already begun disrupting industries that are using IoT. About 20% of all IoT enabled devices shall have basic level Blockchain services enabled in them in 2019. That said, there would be more devices that will be will be able to send data to private ledgers.
2018-03-17 insidebigdata.com 550As more businesses look to data driven technologies like automation and AI, the need for talented workers who can interpret the data is only expected to rise. In fact, IBM predicts that the demand for data scientists will soar 28% by 2020. To dive into this trend further, our friends at Indeed, the well-known job site, took a deeper look at the industry growth.
2018-02-05 insidebigdata.com 533Data scientists are in high demand, taking the number 1 spot in Glassdoor's Best Jobs in America list in 2016 and 2017, with 4,84 position available and boasting a median base salary of $110,000. According to Jim Webber, Chief Scientist at Neo4j, the following is a short-list of the most essential tech skills for data scientists to adopt this year.
2018-02-13 insidebigdata.com 518In this contributed article, Navin Chaddha, Managing Director, at Mayfield, a top-tier Silicon Valley venture capital firm with $2.7 billion under management and a 48 year history of investing, outlines 5 big areas of opportunity as well as some trends that are creating the need for a new class of companies that will serve as the drilling rigs of the big data age.
2018-01-03 insidebigdata.com 501In this article, I'd like to share a nice summary of the state of computer vision from Course 4 "Convolutional Neural Networks" from the new Deep Learning Specialization series on Coursera. Dr. Andrew Ng provides some compelling observations about deep learning and computer vision with the goal of mapping out the future of this increasingly popular technology.