O'Reilly on Data

AUGUST 27, 2018

Cristian Capdevila explains how Prognos is predicting disease. Continue reading Disease prediction using the world's largest clinical lab data set.

146

146

Rocket-Powered Data Science

AUGUST 1, 2018

In the early days of the big data era (at the peak of the big data hype), we would often hear about the 3 V’s of big data (Volume, Variety, and Velocity). Then, people started adding more V’s, including Veracity and Value , plus many more! I was guilty of adding several more in my article “ Top 10 Big Data Challenges – A Serious Look at 10 Big Data V’s “ Through the years, I have decided on the following “4 V’s of Big Data” summary in my own presentation

Big Data 105

Big Data Machine Learning Data-driven Data Science 105

Bruno Aziza

AUGUST 30, 2018

Fannie Mae has established a modern data environment which results in a richer and more granular customer experience.

96

96

IBM Big Data Hub

AUGUST 9, 2018

As any financial services executive knows, improving business results with precise, timely decisions is much harder than it looks.

Prescriptive Analytics 87

Prescriptive Analytics Analytics IT 87

Advertiser: ZoomInfo

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

Sales

DSI Analytics

AUGUST 31, 2018

Many companies fail, despite their best efforts, at reinventing themselves in the digital age. Harvard’s Sunil Gupta, who has worked with top organizations around the globe, presents valuable lessons-learned in his recent book, Driving Digital Strategy: A Guide to Reimagining Your Business. This post is a summary and review of that book. Introduction: I really liked the […].

Strategy 74

Strategy Analytics 74

Birst BI

AUGUST 23, 2018

How many times have you wished for more hours in the day so you can complete more tasks? A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. However, there are simply not enough data scientists in the world to deliver on the AI potential.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Cloudera

AUGUST 31, 2018

Two years ago I founded Hyperpilot with the mission to enable autopilot for container infrastructure. We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. Last month, I joined Cloudera along with former team members Xiaoyun Zhu and Che-Yuan Liang to bring our expertise in intelligent automation to Cloudera’s modern platform for machine learning and analytics.

Machine Learning 67

Machine Learning Analytics Optimization Big Data 67

Bruno Aziza

AUGUST 5, 2018

A flurry of excitement surrounds blockchain and its potential to transform healthcare.

IT 84

IT Big Data 84

IBM Big Data Hub

AUGUST 27, 2018

Changes in rules and regulations create a fertile environment for innovation, in sports and in business. You just have to know where to look and approach things with an open mind.

75

75

Peter James Thomas

AUGUST 18, 2018

No this article has not escaped from my Maths & Science section , it is actually about data matters. But first of all, channeling Jennifer Aniston [1] , “here comes the Science bit – concentrate” Shared Shapes. The Theory of Common Descent holds that any two organisms, extant or extinct, will have a common ancestor if you roll the clock back far enough.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

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

Testing

Juice Analytics

AUGUST 27, 2018

The folks in the front of the room stared with a forced intensity at (what must have been) the 23rd straight slide showing data about website performance. Their glazed eyes would have been entirely evident if the speaker wasn’t so intently focused on pointing out the change in bounce rate between August and July. In the back of the room, Brian wasn’t able to summon the energy to care.

Visualization 63

Visualization Machine Learning Sales IT 63

O'Reilly on Data

AUGUST 27, 2018

Fernando Perez talks about UC Berkeley's transition into an environment where many undergraduates use Jupyter and the open data ecosystem as naturally as they use email. Continue reading Sea change: What happens when Jupyter becomes pervasive at a university?

118

118

John Wheeler

AUGUST 16, 2018

Gartner published its inaugural Magic Quadrant for Integrated Risk Management (IRM) several weeks ago and feedback from end-user customers has been overwhelmingly positive. What is most noteworthy is the shift away from the old, monolithic governance, risk and compliance (GRC) software platforms. As CEOs and senior executives continue to invest in risk management technology to keep pace with the growing digital business initiatives, customized, on-premise GRC solutions are less attractive.

Marketing 56

Marketing Risk Management Recreation/Entertainment Risk 56

Cloudera

AUGUST 2, 2018

How do you know when your Data Warehousing solution is working well? Surprisingly, when you fail to notice it. Here are some interesting observations that are often taken for granted: Credit card transactions are handled safely. True – millions of credit card transactions are processed within minutes for consistency, fraud and compliance, using petabytes of historical transactions as reference data.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

Advertisement

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.

Strategy

IBM Big Data Hub

AUGUST 13, 2018

Data can be an organization’s most valued asset, providing insights that help strengthen business. Knowing what works and what does not can help you invest more resources in what would work in the future. Learn more about the Watson Knowledge Catalog.

74

74

Peter James Thomas

AUGUST 29, 2018

Part of the In-depth series of interviews. Today I am talking to Christopher Bannocks , who is Group Chief Data Officer at ING. ING is a leading global financial institution, headquartered in the Netherlands. As stressed in other recent In-depth interviews [1] , data is a critical asset in banking and related activities, so Christopher’s role is a pivotal one.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Jedox

AUGUST 20, 2018

Whether you work for a government agency, a high-tech company or a service provider, your organization must plan its annual budget. While many members of your organization might be familiar with planning or budgeting software, the set of activities to create, control and update the budget is known as the budget process. Digitalization is tactical – automating activities, for example, while Digital Transformation is strategic – focusing on improving overall business processes and increasing busin

Digital Transformation 44

Digital Transformation Business Driver Sales Forecasting 44

O'Reilly on Data

AUGUST 24, 2018

Julia Meinwald outlines effective ways to support the unseen labor maintaining a healthy open source ecosystem. Continue reading Why contribute to open source?

112

112

Advertisement

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.

Testing

CIO Business Intelligence

AUGUST 28, 2018

Self-service business intelligence (BI) is becoming more popular, as organizations look for ways to make it easier for business users at all levels to glean insights from growing volumes of data.

Business Intelligence 40

Business Intelligence IT 40

Cloudera

AUGUST 6, 2018

The field of philanthropy is in constant search of the next big thing. And rightly so – our organizations must use limited resources as wisely as possible to try to tackle some of society’s most challenging problems. In recent years, we have heard a great deal about how new and sophisticated understanding of how to interpret the onslaught of data produced in the modern age could help us turn the corner on major social and environmental problems.

Machine Learning 50

Machine Learning Internet of Things Data-driven Cost-Benefit 50

IBM Big Data Hub

AUGUST 21, 2018

On September 13, Rob Thomas together with ESPN anchor Hannah Storm, will lead a discussion around the transformative potential of AI, the importance of a multi-cloud architecture — and how companies representing a range of industries – from manufacturing to health care — are winning with AI. Attend in person in NYC and enjoy intimate networking and learning sessions – or alternatively catch the Livestream from your home or office.

Manufacturing 72

Manufacturing 72

Peter James Thomas

AUGUST 12, 2018

This article is about facts. Facts are sometimes less solid than we would like to think; sometimes they are downright malleable. To illustrate, consider the fact that in 98 episodes of Dragnet, Sergeant Joe Friday never uttered the words “Just the facts Ma’am”, though he did often employ the variant alluded to in the image above [1].

Metrics 49

Metrics Statistics Data Quality Measurement 49

Advertisement

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.

Optimization

Jedox

AUGUST 13, 2018

A good FP&A solution embraces the power of AI and should already have incorporated it into its technology. Over the past few years, the concept of Artificial Intelligence or ‘AI’, has finally been accepted into the mainstream and is dominating conversations around the world. With the rapid emergence of cognitive computing and machine learning, AI had been sitting in the wings for decades waiting for the right time to shine, and that time is now.

Optimization 43

Optimization Machine Learning Forecasting Visualization 43

O'Reilly on Data

AUGUST 30, 2018

The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning. In this episode of the Data Show , I spoke with Eric Jonas , a postdoc in the new Berkeley Center for Computational Imaging. Jonas is also affiliated with UC Berkeley’s RISE Lab. It was at a RISE Lab event that he first announced Pywren , a framework that lets data enthusiasts proficient with Python run existing code at massive scale on Amazon Web Services.

Machine Learning 110

Machine Learning Software Enterprise IT 110

DSI Analytics

AUGUST 24, 2018

Title: Driving Digital Strategy: A Guide to Reimagining Your Business This book was published by HBR Press on July 24, 2018 Author: SUNIL GUPTA is the Edward W. Carter Professor of Business at Harvard Business School, where he is the chair of the General Management Program and co-chair of the executive program on Driving Digital […]. The post Review of “Driving Digital Strategy” (HBR Press) Part 1 appeared first on DSI Analytics.

Strategy 40

Strategy Publishing Management Analytics 40

Cloudera

AUGUST 3, 2018

Cloudera’s diverse and expansive partner ecosystem includes major tech companies constantly redefining the industry, consultancies guiding some of the most comprehensive digital transformations, fast-emerging ISVs challenging status-quo, and cloud companies providing unparalleled flexibility and scalability. Individually, these companies deliver great value to customers, so imagine the business outcomes and customer benefits made possible when two or more of these companies develop a joint offer

Digital Transformation 40

Digital Transformation ROI Machine Learning Consulting 40

Advertisement

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?

Business Intelligence

IBM Big Data Hub

AUGUST 16, 2018

IBM Hybrid Cloud Marketing VP Scott Hebner speaks with Big Data and Analytics Hub about the bets he’s placing on the offering to evolve into the company’s first AI platform and emulate WebSphere’s success.

Big Data 68

Big Data Marketing Analytics 68

Peter James Thomas

AUGUST 22, 2018

The interviews that I conduct with leaders in their fields as part of my “In-depth” series have hopefully brought a new and interesting aspect to this site. However, often the boot is on the other foot and I am the person being interviewed about my experience and expertise in the data field and related matters [1]. Maybe interviewing other people helps me when I am in turn interviewed, maybe it’s the other way round.

Data-driven 42

Data-driven Data Processing Publishing Enterprise 42

Hurwitz & Associates

AUGUST 23, 2018

By Jean S. Bozman. IBM is targeting multicloud storage as a growth area for its IBM Storage systems and IBM software-defined storage products. On Aug. 14, 2018, the company expanded multicloud support across its portfolio of software-defined infrastructure (SDI) solutions. The announcements build on earlier IBM Storage announcements for products, features and solutions for simplified backup and recovery, object storage through IBM Cloud Object Storage, and support for scalable clusters in cloud

Data Processing 40

Data Processing Machine Learning Software Enterprise 40

O'Reilly on Data

AUGUST 27, 2018

David Schaaf explains how data science and data engineering can work together to deliver results to decision makers. Continue reading Jupyter notebooks and the intersection of data science and data engineering.

Data Science 105

Data Science 105

Advertiser: ZoomInfo

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

Reporting