Bruno Aziza
FEBRUARY 15, 2017
The long-term viability of email as a primary communications platform is worth reassessing due to our nation’s changing professional demographics and the increasing functionality of “smart software.
ScienceSoft
FEBRUARY 20, 2017
Although noise and bias in decision-making can’t be avoided completely, they can be effectively minimized with the help of mobile technology.
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TIBCO
FEBRUARY 21, 2017
When a new technology comes along it goes through a fairly predictable process of evolution, starting with a long period where nothing much happens as the market gets to learn what it’s all about. That’s followed by an equally fallow period of early adoption then, if all goes to plan, there follows a rush of ‘me-too’ products as the market finally wakes up to the benefits and everyone tries to get in on the action.
DSI Analytics
FEBRUARY 14, 2017
Back when ‘retail’ meant 100 meters of shelving and one check-out counter, face-to-face retailers grew to understand their customers’ intentions, preferences, and idiosyncrasies, even when customers walked out without making a purchase. Retailers would go on to use these insights to help subsequent customer in an insightful and personal manner.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
Darkhorse
FEBRUARY 7, 2017
When presenting data tables, we recommend stripping away backgrounds and grids and using alignment, formatting, and whitespace to guide the eye along the rows and columns of the data. But what if you have lots of rows with many columns that stretch across a screen or page? Or perhaps you have large gaps between fields because of varying text lengths.
MLWhiz
FEBRUARY 4, 2017
As a data scientist I believe that a lot of work has to be done before Classification/Regression/Clustering methods are applied to the data you get. The data which may be messy, unwieldy and big. So here are the list of algorithms that helps a data scientist to make better models using the data they have: 1. Sampling Algorithms. In case you want to work with a sample of data.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Nutanix
FEBRUARY 16, 2017
There’s no question that enterprise application usability has for the most part been left behind.
Occam's Razor
FEBRUARY 28, 2017
A story where data is the hero, followed by two mind-challenging business-shifting ideas. At a previous employer customer service on the phone was a huge part of the operation. Qualitative surveys were giving the company a read that customers were unhappy with the service being provided. As bad customer service is a massive long-term cost – and short-term pain –, it was decided that the company would undertake a serious re-training effort for all the customer service reps and with that problems
DSI Analytics
FEBRUARY 6, 2017
The video from my recent keynote on the analytic aspect of Conversion Rate Optimization is now available online. This particular keynote was geared towards a primarily non-technical audience. The post Keynote Presentation from January 19, 2017 appeared first on DSI Analytics.
Bruno Aziza
FEBRUARY 17, 2017
We face a worrisome future of weak IoT devices. The makers are strongly motivated to keep the devices cheap, but flaws that cannot be fixed at scale are inevitable. The result is a network full of devices that can and will be abused.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
Bruno Aziza
FEBRUARY 13, 2017
For those staying close with IT trends, it is clear that converged and hyper-converged systems are and will continue to play an important role in simplifying and accelerating the building and operating of clouds
Bruno Aziza
FEBRUARY 24, 2017
Reports that Amazon may be interested in Capital One fuels fresh speculation.
Bruno Aziza
FEBRUARY 1, 2017
This giant tech acquisition illustrates the forgotten value of making go-to-market a competitive advantage
Nutanix
FEBRUARY 2, 2017
There’s no question that enterprise application usability has for the most part been left behind.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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