Peter James Thomas
JUNE 3, 2019
Click here to view a larger version on Oxbow Partners’ site. The above infographic is the work of Management Consultants Oxbow Partners [1] and employs a novel taxonomy to categorise data teams. First up, I would of course agree with Oxbow Partners’ statement that: Organisation of data teams is a critical component of a successful Data Strategy.
Analytics Vidhya
JUNE 3, 2019
“Sound does not travel in a vaccum.“ The above concept might just be a simple fact for you – but I had a tough. The post The AI Comic: Z.A.I.N – Issue #1: Automating Attendance using Computer Vision appeared first on Analytics Vidhya.
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datapine
JUNE 3, 2019
“The competition to hire the best will increase in the years ahead. Companies that give extra flexibility to their employees will have the edge in this area.” – Bill Gates. To compete, evolve, and remain relevant, today’s forward-thinking businesses always strive to improve the efficiency of their internal processes while measuring their success – and hiring talent is no exception.
Data Science 101
JUNE 3, 2019
Looking for a few academic data science papers to study? Here are a few I have found interesting. The are not all from the past 12 months, but I am including them anyhow. Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some of the limitations. Playing Atari with Deep Reinforcement Learning (2013) – A bit older, but a classic in the reinforcement learning literature Model Evaluation, M
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.
IBM Big Data Hub
JUNE 3, 2019
Back when I was in school, one of the most difficult classes for my business degree was quantitative analysis. It wasn’t just hard, it was laborious to translate and solve business conditions and problems into algebraic equations by hand. In the beginning, it was merely optimizing output based on a few constraints. As the course progressed, the equations became longer and more complicated in order to solve more complex problems.
Dataiku
JUNE 3, 2019
The evolution of artificial intelligence, machine learning and big data have been an increasingly integral part in the transformation of many industries, and marketing is no exception. Data-driven technology has made it possible for marketers to build a clearer picture of their target audiences than ever before, and in the hotbed of all this lies artificial intelligence (AI) marketing.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
JUNE 3, 2019
In a previous article I shared some of the challenges, benefits and trends of Big Data in the telecommunications industry. This time, I will focus on the financial services industry based on previous IBM studies in this industry and some personal experiences. An Industry Without Physical Products. Big Data’s promise of value in the financial services industry is particularly differentiating.
BI-Survey
JUNE 3, 2019
N orth America has embraced the cloud more fully than Europe at this time. It is more committed to a cloud strategy and has double the rate of “high” usage of the cloud compared to Europe. It also has a higher percentage of companies that are strategically committed to cloud BI to a high degree, and it has higher usage as well. This is no surprise since North America is home to many cloud software firms and has traditionally been a fast adopter of new technologies compared to Europe.
IBM Big Data Hub
JUNE 3, 2019
According to a recent IDC report , 79 percent of enterprises are currently investing in a hybrid cloud environment or have planned to invest in towards one in the next twelve months. More businesses are looking to do this by adopting public cloud deployments for their data management needs.
CIO Business Intelligence
JUNE 3, 2019
Apache Spark is a fast data processing framework dedicated to big data. It allows the processing of big data in a distributed manner (cluster computing). Very popular for a few years now, this framework is about to replace Hadoop. Its main advantages are its speed, ease of use, and versatility. Apache Spark is an open source big data processing framework that enables large-scale analysis through clustered machines.
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.
DataRobot
JUNE 3, 2019
Robotic process automation (RPA) is software that aims to automate back-office work, eliminating the need for humans to perform mundane tasks like gathering and sorting data and freeing up their time to do more strategic work. Artificial intelligence (AI) is a computer system that is able to perform tasks that ordinarily require human intelligence. When brought together, these two powerful tools take digital transformations to the next level.
Nutanix
JUNE 3, 2019
Progressive Communications is a networking solutions provider headquartered in Atlanta, and serving markets across the U.S. and Latin America. Chris Minton was the first Progressive Communications employee to come across Nutanix.
CDW Research Hub
JUNE 3, 2019
Single sign-on (SSO) is an access control method that allows a user to access the resources of multiple applications by logging in with just one set of credentials. This type of centralized authorization provides strengthened security and increased productivity by allowing users quick access to needed apps while staying fully aligned with the organization’s identity policy.
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