IBM Big Data Hub
OCTOBER 3, 2017
Companies have a choice when it comes to their strategy for data governance. Aberdeen research shows that it can be onerous and bureaucratic, or it can be liberating and empowering.
Bruno Aziza
OCTOBER 31, 2017
Today, Girls Who Code is a national organization that has helped 40,000 girls learn fundamental computer science skills.
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Data Science and Beyond
OCTOBER 15, 2017
Aspiring data scientists and other visitors to this site often repeat the same questions. This post is the definitive collection of my answers to such questions (which may evolve over time). How do I become a data scientist? It depends on your situation. Before we get into it, have you thought about why you want to become a data scientist? Hmm… Not really.
Mark Raskino
OCTOBER 1, 2017
Before we get into this important issue I have to declare a disinterest. I’m not a cloud analyst at Gartner. I don’t cover the vendors or their offerings. I can’t tell you which one is best under different circumstances. I have many colleagues who can help you with those decisions. What I do know is this – deciding which cloud(s) your company will become reliant on is a strategy question that cannot be left to technical thinkers alone.
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Smarten
OCTOBER 25, 2017
The Next, Even Better Gift: Advanced Data Discovery Tools! Have you ever noticed that when you give someone something, they often want more? This is especially true when they really like what you gave them! As the concept of business analytics becomes more main stream and business users embrace the possibilities, they (and their managers) want and expect even more tools and more potential.
ScienceSoft
OCTOBER 5, 2017
With banking analytics software, banks can predict customer behavior, anticipate future events, and gain new insights that improve cross-selling.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Bruno Aziza
OCTOBER 11, 2017
A wave of financial services innovation and disruption possesses serious potential to unsettle perhaps the most traditional and central industry in our economy.
Paris Technologies
OCTOBER 18, 2017
In most data analytics projects, much focus is put on the tools that need to be implemented. Understandably so, since choosing the right tools for your organization’s BI stack is crucial in defining the data analytics process. Not to mention, the cost of such tools needs to be considered. However, tools are just half of […].
Mark Raskino
OCTOBER 27, 2017
It was nineteen-eighty-something. “ Information technology, is a societal, epochal technology ” said my university lecturer, quoting a translated Japanese author (that made the insight seem even more wise and visionary). Like … wow man. Decades later I find it helpful to reconsider the 60 to 80 year journey that historians call the ‘information age’ It’s not ivory tower thinking, it can be very enlightening for business and IT executives as they grapple with q
Data Science and Beyond
OCTOBER 15, 2017
Aspiring data scientists and other visitors to this site often repeat the same questions. This post is the definitive collection of my answers to such questions (which may evolve over time). How do I become a data scientist? It depends on your situation. Before we get into it, have you thought about why you want to become a data scientist? Hmm… Not really.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
DataRobot Blog
OCTOBER 9, 2017
Excel has long been the tool for business analysts to perform lightweight data preparation tasks – identifying outliers and errors, aggregating values, and combining data into one spreadsheet for analytics. However, all too often, business users waste time using Excel to manually profile and process data. Truth is that Excel is inadequate for enterprise projects that comprise large-scale data sets, involve group collaboration, and require data accuracy in a short amount of time.
IBM Big Data Hub
OCTOBER 5, 2017
Over the past few years, two major trends have overtaken the world of analytics and data-driven decision-making.
Bruno Aziza
OCTOBER 20, 2017
Autonomous vehicles won’t just change the way we get around; they have the potential to redefine the landscapes of our cities in dramatic ways.
Paris Technologies
OCTOBER 2, 2017
Data preparation can be a tedious and time consuming activity. However, it is a fundamental part of the data analysis process in order to produce accurate information that can be trusted. If you are responsible for preparing data for analytics, you have to ask questions based on the expectations and demands of the business. What […].
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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
Cloudera
OCTOBER 17, 2017
Deep learning is in the news. It’s changing the game. It’s changing your life. It’s changing everything. It will change the world. It’s good to see people excited about technology. But deep learning is a tool that enterprises use to solve practical problems. Nothing more, and nothing less. In this blog, we provide a few examples that show how organizations put deep learning to work.
Information Builders
OCTOBER 18, 2017
Loyola University Boosts Academic Ranking and Boosts Student Retention With WebFOCUS. Pervasive Analytics Tools Help Faculty and Staff Maximize Educational Experience. Loyola University Chicago has standardized on Information Builders’ WebFOCUS business intelligence (BI) and analytics platform to access, analyze, and share insights among its 4,000-member faculty and staff.
CONTACT Software
OCTOBER 17, 2017
Let’s get digital – The Internet of Things (IoT) has an outstanding influence on the relationship between companies and their customers. Companies now face the challenge of placing attractive digital offerings so as not to fall behind. The white paper identifies the central mechanisms of digital offerings and identifies the 14 most important patterns and blueprints for IoT-driven business models.
IBM Big Data Hub
OCTOBER 24, 2017
If you’re holding an event for the very first time, what helps you gauge its success? At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
ScienceSoft
OCTOBER 5, 2017
We explore how a central CRM system, mobile banking app and analytics software can help banks to succeed in cross-selling.
Nutanix
OCTOBER 31, 2017
Fabien Cousteau is an aquanaut, oceanographic explorer, and environmental advocate. The grandson of pioneering marine conservationist and explorer Jacques Cousteau, Fabien has dedicated his life to learning about and interacting with marine life, and sharing his insights with local communities and children worldwide through the Fabien Cousteau Ocean Learning Center.
Cloudera
OCTOBER 26, 2017
Published originally on O’Reilly.com. Become more agile with business intelligence and data analytics. Clouds (source: Pexels ). Check out Greg Rahn’s session, “ Rethinking data marts in the cloud: Common architectural patterns for analytics ” at the Strata Data Conference in Singapore, December 4-7, 2017, to learn how to architect analytic workloads in the cloud and the core elements of data governance.
Information Builders
OCTOBER 2, 2017
Enclara Brings Analytic Clarity to Hospice's Mission of Mercy. Customer-Facing Portal Helps Palliative Care Organizations Reduce Costs and Improve Patient Care. Determined to improve upon the standard pharmaceutical model, in which a hospice simply calls in an order to a local or regional pharmacy, Enclara Pharmacia used Information Builders' WebFOCUS business intelligence (BI) and analytics platform to create Enclarity™, a customer-facing analytics environment for its hospice clients. rea
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
The Unofficial Google Data Science Blog
OCTOBER 12, 2017
by ERIC HOLLINGSWORTH A large part of the data we data scientists are asked to analyze was not collected with any specific analysis in mind, or perhaps any particular purpose at all. This post describes the analytical issues which arise in such a setting, and what the data scientist can do about them. A landscape of promise and peril The data scientist working today lives in what Brad Efron has termed the "era of scientific mass production," of which he remarks, "But now the flood of data is acc
IBM Big Data Hub
OCTOBER 9, 2017
Organizations are collecting terabytes of data, so it’s not surprising that organizations are scrambling to identify a data management solution that fits their unique environment. The freedom of choosing the right data source to fit an organization’s data storage strategy is the key to robust data management process.
DataRobot Blog
OCTOBER 3, 2017
Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. From speaking with attendees at the Paxata exhibit booth, partaking in networking events, and attending sessions, we observed three major trends: 1) Convergence of technologies.
Nutanix
OCTOBER 19, 2017
Mick Ebeling is the chief innovation instigator and founder of Not Impossible Labs, an award-winning content and technology solution creator based in Los Angeles.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Cloudera
OCTOBER 31, 2017
Cloudera was recently named to the San Francisco Business Times “Fast 100” list of the fastest-growing private companies in the Bay Area. We were selected based on our pre-IPO revenue growth driven by demand for our machine learning and analytic platform. This year’s winners were selected based on percent growth in revenue from fiscal years 2014 to 2016. .
Occam's Razor
OCTOBER 12, 2017
The rapid pace of innovation and the constantly exploding collection of possibilities is a major contributor to the fun we all have in digital jobs. There is never a boring moment, there is never time when you can’t do something faster or smarter. The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills.
IBM Big Data Hub
OCTOBER 26, 2017
Today’s most successful companies think differently about data governance. Recent Aberdeen research suggests that top-performing companies are those that create a more holistic approach to data governance, incorporating the right technologies, processes, skill sets and internal capabilities.
IBM Big Data Hub
OCTOBER 5, 2017
IBM Analytics is coming to Berlin and New Orleans this October. Here are five traits that make the conference unique. Can't make it? Join the Facebook livestream on October 10 or watch the replay to hear the opening session keynotes from Joel Shapiro and Marc Altshuller.
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