O'Reilly on Data
APRIL 9, 2019
Or, why science and engineering are still different disciplines. "A scientist can discover a new star, but he cannot make one. He would have to ask an engineer to do it for him.". –Gordon Lindsay Glegg, The Design of Design (1969). A few months ago, I wrote about the differences between data engineers and data scientists. I talked about their skills and common starting points.
Cloudera
APRIL 9, 2019
Enterprises are moving to the cloud. In 2016, 60.9% of application workloads were still on-premises in enterprise data centers; by the end of 2017, less than half (47.2%) were on-premises. Enterprises plan to implement new apps primarily in the cloud while migrating 20.7% of existing apps to public cloud. Despite this trend to move to cloud, It will be rare for enterprises to deploy 100% of their apps in the cloud, let alone deploy all apps to a single cloud.
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CIO Business Intelligence
APRIL 9, 2019
Business intelligence (BI) analysts transform data into insights that drive business value. Through use of data analytics, data visualization and data modeling techniques and technologies, BI analysts can identify trends that can help other departments, managers and executives make business decisions to modernize and improve processes in the organization.
Corinium
APRIL 9, 2019
When customers speak with companies, they want to do so with the same digital channels they use to communicate with friends and family. And they expect the experience to be effortless. This expectation is just one aspect of the digital disruption that is upending how legacy enterprise companies do business. The stakes for these companies have never been higher, particularly when many emerging players have already mastered the quickly evolving digital landscape.
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.
Insight
APRIL 9, 2019
NASA [Public domain] In this blog, I’ll discuss how I worked collaboratively with various domain experts, using reinforcement learning to develop innovative solutions in rocket engine development. In doing so, I’ll demonstrate the application of ML techniques to the manufacturing industry and the role of the Machine Learning Product Manager. Machine learning beyond the tech industry Machine learning (ML) has had an incredible impact across industries with numerous applications such as personaliz
Corinium
APRIL 9, 2019
When customers speak with companies, they want to do so with the same digital channels they use to communicate with friends and family. And they expect the experience to be effortless. This expectation is just one aspect of the digital disruption that is upending how legacy enterprise companies do business. The stakes for these companies have never been higher, particularly when many emerging players have already mastered the quickly evolving digital landscape.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Corinium
APRIL 9, 2019
Download the Report. The Big Data revolution has been surprisingly rapid. Even five years ago many companies were still asking the question, “What is Big Data?” We were consistently being told that data science would be the “ sexiest ” job of the century but finding a data scientist to implement a Big Data project was difficult to do. The early days of Big Data were defined by building massive data stores, or data lakes of unstructured data that were searchable in ways and at speeds that were no
Dataiku
APRIL 9, 2019
Despite the hype of machine learning and AI, not many businesses today have actually managed to bring transformational change through data - GE Aviation is an exception. Since March 2017, the GE Aviation Self-Service Data program has seen the creation of more than 2,000 data products, and the program has more than 1,800 users (and growing) worldwide.
Teradata
APRIL 9, 2019
Chris Twogood explains while large companies who utilize data need Pervasive Data Intelligence in order to leverage all of their data, all of the time.
IBM Big Data Hub
APRIL 9, 2019
A company only survives for 115 years by reinventing itself, questioning assumptions, and constantly looking for an edge. Owens-Illinois (O-I), the world’s largest manufacturer of glass containers, used worldwide by many leading food and beverage brands, recently began just such a reinvention. After decades of growth, spanning 78 plants in 23 countries on 5 continents, O-I is undertaking a data transformation from the ground up by reassessing their data infrastructure, and they came to IBM for h
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.
Smart Data Collective
APRIL 9, 2019
Over the last seven years, the iGaming industry has come a very long way. In 2019, it has become one of the largest industries in the world. It is comprised of several different online gambling sectors like the online casino sites that accept PayPal , live sports betting, and poker. Big data is going to have a large impact on the direction of this growing industry.
Grooper
APRIL 9, 2019
Increase wisdom by learning how to create knowledge. There is a logical hierarchy for transforming data into wisdom. Understand each step to become not just smarter, but wiser.
Smart Data Collective
APRIL 9, 2019
With the growing prevalence of technology, more and more businesses are beginning to integrate digital channels in their customer service models. Call centers know that a poor customer experience is all it takes to lose a customer forever, while consistent bad service can ruin the center’s reputation. In order to stand out from competitors, call center software integration is a necessary addition to your call center’s customer service approach.
DataRobot
APRIL 9, 2019
Guest post by Dr. Chris Marshall, Associate Vice President, Big Data and Analytics, Cognitive Computing, IDC Asia/Pacific.
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.
Paul Turley
APRIL 9, 2019
Our little “Data Geeks” Meetup group in Vancouver, Washington is growing with a line-up of heavy-hitters and bigger crowds. This month, on April 16th, we are honored to welcome Reid Havens, Microsoft MVP and Business Intelligence superstar from the Seattle area.
The Data School
APRIL 9, 2019
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Nutanix
APRIL 9, 2019
Do you greet your datacenter when you walk in? Do you thank your nodes, racks, and cables for all the hard work they’ve done? Do you neatly arrange your hardware so it’s clearly visible and accessible?
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
datapine
APRIL 9, 2019
Whether you realize it or not, your human resources (HR) department is one of the most pivotal sectors within your organization. If managed strategically, your HR department could enhance your business in a number of ways. Moreover, interactive HR dashboard templates offer businesses the means to better understand their personnel, spot emerging problems or issues, and deploy proactive solutions to manage their HR departments in a more fluent, result-driven fashion.
Sisense
APRIL 9, 2019
There’s nothing more satisfying than building something yourself. You know what you want your creation to accomplish, the unique challenges you want to tackle, and you pick the features you need. Then you find the raw materials or the base kit to start building from. That’s the whole idea of open source software: the world should all be one giant Lego kit, where developers of all stripes can share skills, code, and create new and different programs to build the world they want to see.
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“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
bridgei2i
APRIL 9, 2019
The financial industry is undergoing a radical shift that’s being driven by mounting regulation and compliance pressures, changing business models, new competition from FinTechs, and disruptive technologies. Introducing innovative technologies such as Artificial Intelligence(AI) can help the financial sector to automate various processes, manage financial advisory services, and reduce the cost of various business expenses.
Peter James Thomas
APRIL 9, 2019
This is the second year in which I have produced a retrospective of my blogging activity. As in 2017 , I have failed miserably in my original objective of posting this early in January. Despite starting to write this piece on 18 th December 2018, I have somehow sneaked into the second quarter before getting round to completing it. Maybe I will do better with 2019’s highlights!
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Smarten
APRIL 9, 2019
Search Analytics with Natural Language Processing Makes Advanced Analytics Easy! Whether you are a consumer or a business user, today’s technology users are savvy and they are used to having easy-to-use tools and features that make them more productive and allow them to quickly complete tasks. The same holds true for users of advanced analytics users.
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