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?
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
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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.
Bruno Aziza
AUGUST 30, 2018
Fannie Mae has established a modern data environment which results in a richer and more granular customer experience.
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.
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 […].
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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.
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.
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.
Bruno Aziza
AUGUST 5, 2018
A flurry of excitement surrounds blockchain and its potential to transform healthcare.
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.
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.
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.
Cloudera
AUGUST 28, 2018
Drum roll… Starting from well over 100 nominations, we are excited to announce the finalists for this year’s Data Impact Awards ! Each year, nominees have raised the bar, and this year is no exception. The level of impact that organizations have shown and the variety of use cases are inspiring. From AI models that power retail customer decision engines to utility meter analysis that disables underperforming gas turbines, these finalists demonstrate how machine learning and analytics have become
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.
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.
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.
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.
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.
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.
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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.
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.
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.
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.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
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.
O'Reilly on Data
AUGUST 24, 2018
Carol Willing shows how Jupyter's challenges can be addressed by embracing complexity and trusting others. Continue reading Sustaining wonder: Jupyter and the knowledge commons.
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.
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.
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.
Peter James Thomas
AUGUST 13, 2018
Between November and December 2017, I published the three parts of my Anatomy of a Data Function. These were cunningly called Part I , Part II and Part III. Eight months is a long time in the data arena and I have now issued an update. Larger PDF version (opens in a new tab). The changes in Version 2 are confined to the above organogram and Part I of the text.
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
Smarten
AUGUST 17, 2018
As advanced analytics and self-serve, augmented analytical tools make their way into the average enterprise, the average organization struggles to quantify the effects and, moreover, to understand and leverage the changes within the business. Every company is different and the impact of these types of tools will be unique in some ways, but there are many ways in which the introduction of advanced analytics to business users will typically impact your business.
O'Reilly on Data
AUGUST 27, 2018
Michelle Gill discusses how data science methods and tools can link information from different scientific fields and accelerate discovery. Continue reading Data science as a catalyst for scientific discovery.
Advertiser: Data Robot
The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
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