The Tribal Knowledge Problem
Alation
DECEMBER 17, 2020
The post The Tribal Knowledge Problem appeared first on Alation.
Alation
DECEMBER 17, 2020
The post The Tribal Knowledge Problem appeared first on Alation.
Smart Data Collective
DECEMBER 17, 2020
How do your employees experience their professional lives? It’s a worthwhile question, yet one that can seem frustratingly vague or hard to measure – but it doesn’t have to be. Rather, as software companies craft new employee experience (EX) platforms designed around communication, data management, and feedback collection, businesses now have access to the perfect tools.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Cloudera
DECEMBER 17, 2020
When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. When many businesses start their journey into ML and AI, it’s common to place a lot of energy and focus on the coding and data science algorithms themselves. While it’s important to have the in-house data science expertise and the ML experts on-hand to build and test models, the reality is that the actual data s
Smart Data Collective
DECEMBER 17, 2020
Big data is disrupting the healthcare sector in incredible ways. The market for data solutions in healthcare is expected to be worth $67.8 billion by 2025 , which is a remarkable 303% increase from 2017. While stories about the sudden growth of big data in healthcare make for great headlines, they don’t always delve into the details. There are a lot of different applications for big data in the healthcare sector.
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.
Paul Turley
DECEMBER 17, 2020
My wife bought me a nice telescope for Christmas. I’ve wanted one since I was a kid. We opened gifts early because we’re going to take the RV out in the dessert to watch the great convergence of Jupiter and Saturn next week. But, what am I doing now, after opening my gift?
Cloudera
DECEMBER 17, 2020
With any transformation in industry or marketplace, there are leaders and losers. The winners know the fundamental pillars that are hidden to some and evident to others that drive and enable success. In 2020, where connected consumers and the turmoil with the pandemic driven supply chains are driving more and more of retail’s response, at Cloudera we believe that the underlying foundation to retail’s success is based upon real-time and streaming data from retail’s edge – the retail s
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Tim Mitchell
DECEMBER 17, 2020
In most data projects, building the extract-transform-load (ETL) logic takes a significant amount of time. Enterprise ETL processes must do several things well: retrieve enough data to satisfy the business needs, apply any needed transformations to that data, and load it to the destination(s) without interruption to any other business processes. The work that goes into building and validating that.
Decision Management Solutions
DECEMBER 17, 2020
Our world looks very different today than it did nine months ago, and so does your business. As one of the most turbulent years in recent history comes to a close, it’s critical in these uncertain times to prepare for the future. With the pandemic still in full play and economic uncertainty across nearly every aspect of the business landscape, it’s important to align your priorities for the coming year so that you don’t just survive but thrive.
Analytics Vidhya
DECEMBER 17, 2020
Are you Ready to Become a Data Scientist in 2021? A new year beckons! New resolutions to become a data scientist have to be. The post A Comprehensive Learning Path to Become a Data Scientist in 2021! appeared first on Analytics Vidhya.
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.
erwin
DECEMBER 17, 2020
What is Microsoft’s Common Data Model (CDM), and why is it so powerful? Imagine if every person in your organization spoke a different language, and you had no simple way to translate what they were saying? It would make your work frustrating, complicated and slow. The same is true for data, with a number of vendors creating data models by vertical industry (financial services, healthcare, etc.) and making them commercially available to improve how organizations understand and work with their da
Nutanix
DECEMBER 17, 2020
The new Frame Streaming Gateway Appliance (SGA) is a reverse proxy solution that removes the need for a VPN.
Jet Global
DECEMBER 17, 2020
In his classic work, the Visual Display of Quantitative Information , Edward R. Tufte powerfully illustrates the impact that data visualization can have on real-world decisions. In the book, he provides a compelling example of how data visualization can lead observers to discover meaning in data that might otherwise appear too cryptic, ultimately saving countless lives as a result.
Nutanix
DECEMBER 17, 2020
The new Frame Streaming Gateway Appliance (SGA) is a reverse proxy solution that removes the need for a VPN.
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.
Let's personalize your content