Analytics Vidhya
MARCH 18, 2020
TensorFlow 2.0 – a Major Update for the Deep Learning Community Just when I thought TensorFlow’s market share would be eaten by the emergence. The post TensorFlow 2.0 Tutorial for Deep Learning appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
MARCH 18, 2020
MicroStrategy recently held its annual user conference, which focused on the theme of the “Intelligent Enterprise.” HyperIntelligence, an innovative product for delivering analytics throughout organizations that they introduced a year ago, was the star of the event. The company announced enhancements to HyperIntelligence and the latest version of its flagship platform, MicroStrategy 2020, as well as a new two-tiered education and certification program.
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Data Science 101
MARCH 18, 2020
The big cloud providers are expanding globally by adding more Global Regions. Google recently announced a new mountain west region. Plus, all the other providers have plans to expand globally. This got me wondering, which provider has the most global regions. I went to all the big cloud provider websites, and I was a bit surprised with the results. Google Cloud Regions.
KDnuggets
MARCH 18, 2020
An integrated BI system has a trickle-down effect on all business processes, especially reporting and analytics. Find out how integration can help you leverage the power of BI.
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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.
Teradata
MARCH 18, 2020
With the lack of available tests & uncertainty around the true number of COVID-19 cases, Teradata Epidemiologist Daniel Ulatowski & Data Scientist Jack McCush hypothesize how symptomatic data & the Vantage ML Engine can be utilized to predict cases.
KDnuggets
MARCH 18, 2020
This article discusses distinguishing between real financial time series and synthetic time series using XGBoost.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
MARCH 18, 2020
Support Vector Machines (SVMs) are powerful for solving regression and classification problems. You should have this approach in your machine learning arsenal, and this article provides all the mathematics you need to know -- it's not as hard you might think.
Smart Data Collective
MARCH 18, 2020
We have written extensively about the benefits of big data in marketing. Louis Columbus wrote a great article in Forbes about 10 ways big data is changing the marketing sector. The business services sector is expected to spend over $77 billion on big data in the near future. Marketing services account for the largest fraction of expenditures here. Salesforce recently created a new product called Einstein Analytics.
KDnuggets
MARCH 18, 2020
Most western countries are on the same #coronavirus trajectory; The Workers Who Face the Greatest #Coronavirus Risk; #Coronavirus, a Visual Rundown; How to start building an automated NLP solution for processing customer feedback.
Data Virtualization
MARCH 18, 2020
Just when we feel smug about having found cures to innumerable diseases, along comes a new kind of a disease, such as the Coronavirus, that humbles us. As dire as the situation may be, in terms of the rapid spread.
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.
KDnuggets
MARCH 18, 2020
A Data Science perspective on Covid-19, the novel coronavirus; The results and analysis of a previous KDnuggets Poll: When Will AutoML replace Data Scientists? How to build a mature Machine Learning team; The Most Useful Machine Learning Tools of 2020; and more.
Ontotext
MARCH 18, 2020
According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Consequently, many data leaders today are striving to overcome these barriers by streamlining their enterprise knowledge management processes and practices.
KDnuggets
MARCH 18, 2020
Metis will break down Python for data science and analytics, explain what is driving adoption in the field, and discuss how industries and companies are reacting to the shift.
Jet Global
MARCH 18, 2020
The name “current ratio” is appropriate because this important financial metric gives decision makers one of the clearest perspectives into their present performance. When companies need to know where their finances stand right now and what that means for the near future, few KPIs say more than the current ratio. For those who have only seen the end result, you calculate the current ratio by dividing current assets by current liabilities.
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.
KDnuggets
MARCH 18, 2020
Friction can quickly arise as a result of these separate workflows and priorities. Given their differences, how can data science and IT more seamlessly work together in building a model-driven organization?
DataRobot
MARCH 18, 2020
If you’re not already doing AI, machine learning, or some form of advanced analytical project, research from McKinsey indicates that it’s now or never. Their conclusion, in a nutshell, is that laggards might never be able to catch up to the early adopters. If you’ve got AI or ML projects underway, the next question you can turn your attention to is whether or not those efforts are successful.
Data Science 101
MARCH 18, 2020
The big cloud providers are expanding globally by adding more Global Regions. Google recently announced a new mountain west region. Plus, all the other providers have plans to expand globally. This got me wondering, which provider has the most global regions. I went to all the big cloud provider websites, and I was a bit surprised with the results. Google Cloud Regions.
Sisense
MARCH 18, 2020
Blog. As software’s role in business proliferates, the ethical implications of decisions made by developers only become more profound. In Big Questions , we outline the biggest concerns facing development teams and look at how companies are grappling with them. In our increasingly digital world, software has a fundamental role to play in almost everything we do.
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.
Andrew White
MARCH 18, 2020
Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Saul Judah’s new note concerning adaptive data and analytics governance entered the top 20 chart 2 weeks ago at number 8. Last week it jumped up to top spot! Enjoy!
FineReport
MARCH 18, 2020
What is the Rose Chart? Have you ever seen this type of chart? Its name is Nightingale Rose Chart, also known as a Coxcomb Chart, Polar Area Diagram. From Wikipedia. In the history, it is a chart invented by Nightingale when he submitted a report on soldiers’ injuries during the Crimean War. The Nightingale Rose Chart is a histogram drawn in polar coordinates.
Jedox
MARCH 18, 2020
In our previous posts in this series, we discussed what tech refresh is all about, why it is so important and what’s crucial when choosing a new solution. In this post, we will cover the advantages of choosing a best-in-class solution. Optimizing planning processes for your business. Creating added value for your organization by optimizing planning processes is fairly straightforward with the automation of rudimentary tasks.
ScienceSoft
MARCH 18, 2020
Have a look at what smart grids powered by big data analytics have to offer for next-level maintenance, power quality monitoring and load management in the energy industry.
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.
Dataiku
MARCH 18, 2020
We’re thrilled to announce that Dataiku 7 is here! This release includes additional features for statisticians and data scientists as well as individual model prediction explanations for all. Ultimately, Dataiku 7 reinforces the notion of data-driven collaboration and empowers organizations with scalable, explainable AI.
datapine
MARCH 18, 2020
“In Social Media, the “squeaky wheel” gets the oil. You have to put yourself out there, to find people who will relate or even debate with you, depending on what you are looking for.” – Jessica Northey. There are billions of social media users across the globe, most of which share their thoughts, feelings, opinions, and recommendations with friends and family.
O'Reilly on Data
MARCH 18, 2020
Last year, when we felt interest in artificial intelligence (AI) was approaching a fever pitch, we created a survey to ask about AI adoption. When we analyzed the results , we determined the AI space was in a state of rapid change, so we eagerly commissioned a follow-up survey to help find out where AI stands right now. The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses.
Smart Data Collective
MARCH 18, 2020
Big data is changing the direction of small and medium sized businesses. They can use big data for many purposes. However, the value of their big data strategies will vary considerably. Using big data to get a better understanding of your customers is important. Wired author Mike Dickey has written a great article on 10 ways that big data can be used to get a more thorough understanding of your customers.
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.
Alation
MARCH 18, 2020
Thirty years ago, the “holy grail” for companies was organizing all enterprise data in one location to achieve a “single source of truth.” Back then, IT held tight control over data and dripped out insights to the organization. Today, however, it’s a very different story: The advent of big data and the associated move to […]. The post Why Data Literacy Matters for the Enterprise appeared first on Alation.
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