O'Reilly on Data
NOVEMBER 21, 2018
The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science. In this episode of the Data Show , I spoke with Vitaly Gordon , VP of data science and engineering at Salesforce. As the use of machine learning becomes more widespread, we need tools that will allow data scientists to scale so they can tackle many more problems and help many more people.
David Menninger's Analyst Perspectives
NOVEMBER 21, 2018
Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds". Pushing the envelope in data capabilities and access, Tableau introduced the "Ask Data" feature, allowing users to prose natural language queries and receive a response, along with new data preparation capabilities and other enhancements to help data analysts.
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Martha Bennett
NOVEMBER 7, 2018
“The visionaries will forge ahead; those hoping for immediate industry and process transformation will give up.” This was the opening sentence of my blog post accompanying Forrester’s DLT/blockchain predictions for 2018. I’m repeating it here, because it’ll continue to hold true for 2019 — with one proviso: There’s a real risk that we’ll experience the beginning […].
Boris Evelson
NOVEMBER 14, 2018
Over the last five years, most large enterprises have slowly but surely matured from being data-aware to data-driven. They all collect data from operational and transactional applications; process the data into data lakes, data hubs, data warehouses, and data marts; and build business intelligence (BI) and analytics applications to understand what the data is telling […].
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
IBM Big Data Hub
NOVEMBER 15, 2018
If you’ve heard the debate among IT professionals about data lakes versus data warehouses, you might be wondering which is better for your organization. You might even be wondering how these two approaches are different at all.
Birst BI
NOVEMBER 20, 2018
When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. And it doesn’t help reduce the confusion when every tech vendor rebrands their products as AI. So, what do these terms really mean? What are overlaps and differences? And most importantly, what can this do for your business?
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Bruno Aziza
NOVEMBER 11, 2018
Allstate is proving that an 87-year-old insurance company can adapt and compete on data and analytics.
CIO Business Intelligence
NOVEMBER 26, 2018
Data scientists come at a premium, posing a challenge for any enterprise outside of Google, Facebook, Amazon.com and Apple. CIOs who have been fortunate enough to poach them from big tech companies or lure them from academia beam with pride as they talk about all of the business insights they’re going to generate with their data gurus.
Insight
NOVEMBER 16, 2018
From ancient warfare to blockchain fanfare There is currently an incredible amount of speculation and discussion around blockchain technology, accompanied by exaggerated hype cycles and intermittent media frenzies. It is challenging to cut through the noise, jargon, scams, and over-marketing to discern the underlying advances with true technological value.
IBM Big Data Hub
NOVEMBER 12, 2018
Not every startup is going to become a world-changing behemoth, but when a small, agile company hits on a truly disruptive idea, it can transform an entire industry.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Data Science and Beyond
NOVEMBER 19, 2018
One of the main projects I’ve been working on over the past year. A generalized machine learning pipeline, pipe serves the entire company and helps Automatticians seamlessly build and deploy machine learning models to predict the likelihood that a given event may occur, e.g., installing a plugin, purchasing a plan, or churning… Read more on data.
O'Reilly on Data
NOVEMBER 8, 2018
The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process. In this episode of the Data Show , I spoke with Francesca Lazzeri , an AI and machine learning scientist at Microsoft, and her colleague Jaya Mathew , a senior data scientist at Microsoft. We conducted a couple of surveys this year— “How Companies Are Putting AI to Work Through Deep Learning” and “The State of Machine Learning Adoption in the E
BI-Survey
NOVEMBER 19, 2018
S mall companies are more likely than large or mid-sized companies to implement BI tools and data warehouses in the cloud. Cloud BI components, by company size (number of employees), n=170. Furthermore, small companies are more likely to use the public cloud than private or hybrid clouds and tools to integrate cloud applications. This makes sense because many small companies may not have a legacy BI/data warehouse environment and internal data center or the IT staff that can build something in-
Bruno Aziza
NOVEMBER 4, 2018
How one firm is leveraging data and analytics to address catastrophic events.
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.
Smarten
NOVEMBER 26, 2018
Your Business Users Will LOVE Predictive Analytics Tools! Predictive Analytics used to involve a crystal ball but, today, there are other options and they are more widely accepted in the business community! With the right predictive analytics tool, your business can hypothesize, test theories, discover the effects of a possible price increase, discover and address changing buying behavior and develop appropriate competitive strategies.
IBM Big Data Hub
NOVEMBER 1, 2018
At TOTAL, we understand that running an oil well profitably and efficiently is mechanically and technically complex. That’s why we are always looking for new ways to innovate and become more efficient.
Martha Bennett
NOVEMBER 7, 2018
“The visionaries will forge ahead; those hoping for immediate industry and process transformation will give up.” This was the opening sentence of my blog post accompanying Forrester’s DLT/blockchain predictions for 2018. I’m repeating it here, because it’ll continue to hold true for 2019 — with one proviso: There’s a real risk that we’ll experience the beginning […].
John Wheeler
NOVEMBER 12, 2018
In our ongoing coverage of Integrated Risk Management (IRM) technology and service providers, the relevance and frequency of client inquiry related to Governance, Risk & Compliance (GRC) continues to decline. In 2017, 28% of our relevant client inquiry related to GRC topics. This year, the percentage of GRC client inquiry has slipped to just 15%.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Juice Analytics
NOVEMBER 11, 2018
My son and I are really excited about the new NBA season. We are Atlanta Hawks fans, so we’re not too optimistic about this year. We know the team is young and has decided to undertake a rebuilding process. Our mantra for this season is the now familiar “trust the process”. If you’re not aware of the phrase “ Trust the Process ” comes from the Philadelphia Sixers rebuilding efforts over the past couple of years.
Cloudera
NOVEMBER 5, 2018
Corporate volunteering is on the rise. However, only half of companies encourage their employees to participate in skills-based volunteering – defined as employees applying their abilities and specialized talents to challenges facing their communities. As the Program Manager for Cloudera Cares, Cloudera’s employee giving and volunteering program at the Cloudera Foundation, I believe that we can have more impact if we offer employees opportunities for skills-based volunteering.
Bruno Aziza
NOVEMBER 18, 2018
In today’s highly competitive investments markets, asset managers are increasingly turning to so-called "alternative data" sources to deliver superior returns.
IBM Big Data Hub
NOVEMBER 29, 2018
Only IBM has step by step framework that helps clients accelerate their journey to AI – and it starts with Information Architecture. .
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
NOVEMBER 21, 2018
This is a question that comes up all the time. Power BI licensing is not complicated but a common challenge is that the person who sets up a new Power BI subscription and tenant within an organization is often not the same person who manages Office 365 or Azure service licensing for the organization. I’ve consulted on projects for several organizations where folks just didn’t know who to talk to or how to proceed after testing the water with Power BI.
John Wheeler
NOVEMBER 29, 2018
One of the most common questions I receive from software vendors has to be “what’s the difference between governance, risk and compliance (GRC) and integrated risk management (IRM) solutions?” Gartner has been publishing research about integrated risk management (IRM) for the past two years. While the software end-user community is excited about IRM rather than outdated GRC solutions, some technology and service providers remain reluctant to acknowledge a shift in market demand has occurred.
Hurwitz & Associates
NOVEMBER 29, 2018
By Jean S. Bozman. The Open Stack Foundation (OSF) is changing its structure by adopting a new framework that will allow it to support open-source projects that did not originate with OpenStack. This move will allow OpenStack to bring in dozens of new projects for incubation within the OpenStack Foundation incubation within the OpenStack Foundation , and testing for end-to-end operations.
Cloudera
NOVEMBER 20, 2018
For the fourth time in the past five years, Cloudera has been named to Deloitte’s Technology Fast 500 as one of the fastest growing companies in North America. This annual ranking showcases the growth of companies in the technology, media, telecommunications, life sciences, and energy tech sectors. This year’s list demonstrated the power of combining breakthrough research and development, entrepreneurship and rapid growth, with software companies like Cloudera making up nearly two-thirds of the
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.
BI-Survey
NOVEMBER 28, 2018
L ooking closer at the usage of various security technologies across different industries, we can see that the only tools with a universally high adoption across all sectors are traditional security products like firewalls, endpoint security solutions and intrusion detection systems to a certain extent. When it comes to more advanced technologies, however, adoption rates vary dramatically.
IBM Big Data Hub
NOVEMBER 6, 2018
The IBM-MongoDB partnership continues to go like gangbusters. Announced in June 2018, our first version of MongoDB Enterprise Advanced is now giving way to our second version.
Paul Blogs on BI
NOVEMBER 27, 2018
On a recent vacation in Mexico, I attended a class to learn how to dance salsa. Now, I have two left feet when it comes to learning any structured dances. I can do the count in my head and I can do the steps with my feet, but I can never get them synchronized which usually results in either stepping on my partner’s feet or freezing in fear of stepping on my partner’s feet!
Smarten
NOVEMBER 19, 2018
The process of predictive analytics has come far in the past decade. No longer is this process the sole responsibility of data scientists or IT staff. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Predictive analytics is the process of forecasting or predicting business results for planning purposes.
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