This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
How can we always be sure the stories we’re reading are accurate? Is there an agenda to distort facts to change opinions? Does a story assert falsehoods, misquote its subjects or rely on hyperbole? In short: is the news we’re consuming the truth? Or is it “fake news?” Meet Mike Tamir, an analytics hero who uses data science to take fake news head-on.
FinTech startups are driving innovation in financial services at a time of disruption and fear of displacement. This article explores the current state of FinTech as a foundation for financial services innovation and transformation.
So I am at the British Airways Executive lounge at London Heathrow waiting for my flight and watching England play Sweden in the World Cup quarter finals. England are leading 1-0 going into the second half and then Dele Alli scores a second goal for England. I jump out of my seat and yell out “Yes, Dele Alli”. Everyone turns round to look at me as if I was from another planet.
The New Iron Triangle. It is cliché to discuss IT/business solutions as people, process, and technology. Some call it the “golden triangle,” but in this blog, we refer to it as the iron triangle. Since the 1960s, technology has disrupted business through the advent of computing and information management. These systems replaced highly manual operations such as record keeping, finance, and reporting.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Last year, researchers at the University of Warwick (UK) found that some rideshare drivers organized simultaneous sign-offs to cause a shortage of drivers. This triggered a surge in prices which meant a bigger payoff for drivers once they signed back on. The drivers knew that they were participating in a system managed by algorithms, so they made it work in their favor.
There is no doubt that “Cloud Transition” is one of the most disruptive trends of our modern times: 77% of enterprises are going to the cloud. And 59% are already there. Question is: what’s the best way to get there and succeed?
The love for BusinessObjects was in the air at this year’s InfoSol Business Intelligence Seminar (IBIS). With attendees sharing their love for BusinessObjects, networking with others who share the same passion, and attending many hands-on training and seminar sessions to expand their knowledge. One of the highlights of IBIS was the InfoSol 2018 Best BI Dashboards Awards.
The love for BusinessObjects was in the air at this year’s InfoSol Business Intelligence Seminar (IBIS). With attendees sharing their love for BusinessObjects, networking with others who share the same passion, and attending many hands-on training and seminar sessions to expand their knowledge. One of the highlights of IBIS was the InfoSol 2018 Best BI Dashboards Awards.
This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. The article series is designed to help business users better understand the analytical techniques so that the average user can feel more confident in adopting, embracing and sharing these tools.
Internet-of-Things (IoT) has entered the lexicon of IT-related buzz terms in a big way over the past few years, and there is good reason for this. IoT at its foundation refers to what can literally be billions of devices spanning the globe (and beyond) that can be connected to the internet to serve a variety of purposes. Both businesses and consumers can and will reap significant benefits from what IoT has to offer.
by Jen Underwood. In our previous article, we introduced IBM Watson Studio and discussed helping our CMO and marketing team better utilize limited resources with advanced analytics. In this article, we will reveal. Read More.
Create Citizen Data Scientists with Assisted Predictive Modeling! If your business is looking for a comprehensive augmented advanced analytics solution, what are some of the critical factors to consider? OK, here goes! You need Assisted Predictive Modeling (Plug n’ Play Predictive Analysis with auto-suggestions and recommendations). You need to encourage business user transformation to create Citizen Data Scientists by implementing a self-serve data democratization environment that allows
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content