Dataiku
DECEMBER 18, 2020
When we were looking ahead to 2020 at the end of last year, everything was about scale and becoming bigger, better, and bolder. After a tumultuous year, teams are undoubtedly more focused on retooling, finding creative ways to collaborate efficiently, and working in a new (and ever-evolving) world. When things return to status quo, that need to collaborate isn't going to go away.
Analytics Vidhya
DECEMBER 18, 2020
Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from. The post A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.
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Smart Data Collective
DECEMBER 18, 2020
We have talked in depth about the benefits of big data with VoIP. One benefit that has been overlooked is the use of big data and blockchain to improve VoIP security. VoIP has become a leading choice for business communications. It offers savings of up to 90% on international calls, 75% on operational costs , 40% on local call bills, and 30% on phone bills – as reported by Finances Online.
Analytics Vidhya
DECEMBER 18, 2020
This article was published as a part of the Data Science Blogathon. Introduction How much data is enough to state statistical significance? In other. The post Statistics for Beginners: Power of “Power Analysis” appeared first on Analytics Vidhya.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Smart Data Collective
DECEMBER 18, 2020
A few years ago, we talked about the benefits of using AI and big data in disaster relief. We have recently seen how important these applications are, as the damage of natural disasters is worse than ever. Mother Nature has been busier than ever this year, with natural disasters adding to the stress of the COVID-19 pandemic. A number of hurricanes have wreaked havoc on the Gulf Coast, and wildfires recently devastated the West Coast.
Analytics Vidhya
DECEMBER 18, 2020
This article was published as a part of the Data Science Blogathon. Introduction It happens quite often that we do not have all the. The post Tutorial to data preparation for training machine learning model appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Cloudera
DECEMBER 18, 2020
When running any performance benchmarking tool on your cluster, a critical decision is always what data set size should be used for a performance test, and here we demonstrate why it is important to select a “good fit” data set size when running a HBase performance test on your cluster. The HBase cluster configurations and the size of data set can vary the performance of your workload and the test results on the same cluster.
Tim Mitchell
DECEMBER 18, 2020
“If it compiles, it works.” – An unemployed developer Building ETL processes is quite easy. Building ETL processes that deliver accurate results as quickly as possible is substantially more difficult. Modern ETL tools (including my personal favorite, SQL Server Integration Services) make it deceptively easy to create simple load process.
Jet Global
DECEMBER 18, 2020
The stakes are high in the retail industry. On one hand, some bricks-and-mortar retailers are fighting to remain relevant and overcome the strain of the coronavirus pandemic. On the other hand, online retail is surging, leading to fierce competition and tight profit margins. Retailers have new sales channels at their disposal and many opportunities to innovate and disrupt, but they’re also facing pressures to adapt faster than seems possible.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
CDW Research Hub
DECEMBER 18, 2020
Good ideas start with coffee, but how can you be sure you will be able to use them and your organization’s valuable data without disaster recovery or data protection? In today’s fast paced business world, data needs to be accessible 24/7. When you are unprepared and mission-critical machines go down, you risk hours of data loss. You will need more than a shot of espresso to get back in business.
Insight
DECEMBER 18, 2020
Insight update - December 2020 It’s been an extremely challenging 2020 for Insight. Due to COVID, we’ve had to go all-remote, walk away from all our offices, and adjust our business model rapidly to adapt. In the face of these challenges, the Insight team and alumni community have been simply incredible, helping Insight Fellows find great jobs in the toughest of circumstances.
Nutanix
DECEMBER 18, 2020
Nutanix provides an overwhelming value that compels Epic customers to lean-in to innovation and away from concerns.
Smart Data Collective
DECEMBER 18, 2020
At any given moment, a single person creates roughly 1.7 MB of data. We’re creating and putting more information out there than at any other point in human history. At this rate, by the end of the year, we can expect the Big Data market to reach 40 trillion gigabytes. That’s more data than most of us can even begin to imagine. Now, this data contains everything from the pictures you upload on social media to comments you post on Reddit and everything in between.
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.
Nutanix
DECEMBER 18, 2020
Secure Remote Work, Accelerate Workloads, and Enable Self-Driving Infrastructure with Nutanix HCI
Smart Data Collective
DECEMBER 18, 2020
Big data has created a number of major benefits in the food and beverage industry. Research from Byteant highlighted some of these benefits in a recent post. They pointed out that the global food and beverage industry is worth $81 trillion. Food and beverage companies are using big data to identify new marketing opportunities. They can monitor trends in the market and sell products that cater to evolving tastes.
Nutanix
DECEMBER 18, 2020
Nutanix provides an overwhelming value that compels Epic customers to lean-in to innovation and away from concerns.
Nutanix
DECEMBER 18, 2020
Secure Remote Work, Accelerate Workloads, and Enable Self-Driving Infrastructure with Nutanix HCI
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
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