In this special guest feature, Solomon Thimothy, CEO of DMA | Digital Marketing Agency, believes that digital marketing advancements in 2018 have set a high bar for customer expectations. Customers now expect, deserve and demand that personalized, seamless transactions will only increase in 2019. By focusing on data-based AI solutions, organizations can ensure the customer … [Read more...] about How AI Can Help Marketers Harness Big Data Opportunities in 2019
The Harvard Data Science Initiative (HDSI) and the MIT Press are pleased to announce the launch of the Harvard Data Science Review (HDSR). The multimedia platform will feature leading global thinkers in the burgeoning field of data science, making research, educational resources, and commentary accessible to academics, professionals, and the interested public. With demand … [Read more...] about The Harvard Data Science Initiative and The MIT Press Launch the HARVARD DATA SCIENCE REVIEW
I spend a lot of my time at conferences and there’s one question I often hear with increasing frequency: Why are there so many monitoring tools? Looking around the vendor area at any conference, I see loads of monitoring tools and companies, and attendees are often overwhelmed by the sea of options. How can all of these tools be different and/or better than the other? The … [Read more...] about Why are there So Many Monitoring Tools?
Nearly all data is either stored or passed through network related channels these days, increasing the potential for a major compromise. The elevated risk is just a byproduct of digital-heavy and internet-reliant operations in the modern world. Few organizations still maintain a local or private data system, with most opting to take advantage of the cloud. Although there are … [Read more...] about 5 Big Data Vulnerabilities You Could Be Overlooking
Pedro Alves, CEO of Ople, In this special guest feature, Pedro Alves, CEO, and Rick Saletta, Senior Marketing Executive of Ople, discuss how model transparency is an essential capability. It facilitates the jobs of a data science team, while helping bring models’ end users to better comprehension of and comfort with the decisions driven by those models. Transparent AI is an … [Read more...] about Before We Argue About Ethics, Models Need Transparency
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving … [Read more...] about The insideBIGDATA IMPACT 50 List for Q3 2019
Whether or not you have an analytics background, in this digital age algorithms are everywhere … in how ambulances determine their route to the hospital, in elections … you name it. INFORMS member Gah-Yi Ban of the London Business School breaks down what algorithms are and how they are useful in a unique talk at a TEDx event. She compares algorithms to evil beings and says … [Read more...] about Algorithms: Not Evil, Helpful – insideBIGDATA
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed articles appearing on insideBIGDATA. We’ve heard from many of our followers that this feature will enable them to catch up with important news and features flowing across our many channels. We’re happy to oblige! We understand that busy big data … [Read more...] about TOP 10 insideBIGDATA Articles for June 2019
It’s no surprise that privacy is hard to come by in today’s world. Many people voluntarily post and record every moment of their lives on social media, but even those who don’t are at risk of having their personal data tracked and stored. The simple act of owning a smartphone invites big companies and government agencies to access your data, whether you’ve explicitly given … [Read more...] about Who Tracks You While You Travel and What Happens With That Data?
Researchers at Intel’s AI Lab recently presented several compelling research papers at the International Conference on Machine Learning (ICML) (June 10-15) and the Conference on Computer Vision and Pattern Recognition (CVPR) June 16-20. At ICML the Intel AI Lab presented two papers as detailed below: Collaborative Evolutionary Reinforcement Learning for Robotics and … [Read more...] about Intel’s AI Lab Presents Several Ground-breaking Research Papers