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 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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
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.
Data Science and Beyond
NOVEMBER 2, 2018
It’s been about a year and a half since I joined Automattic as a remote data scientist. This is the longest I’ve been in one position since finishing my PhD in 2012. This is also the first time I’ve worked full-time with a fully-distributed team. In this post, I briefly discuss some of the top pluses and minuses of remote work, based on my experience so far. + Flexible hours. – Potentially boundless work.
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.
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.
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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?
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.
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-
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.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
Bruno Aziza
NOVEMBER 4, 2018
How one firm is leveraging data and analytics to address catastrophic events.
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.
Insight
NOVEMBER 19, 2018
Taking Infrastructure to the Next Level DevOps workflow by jdiazmx, distributed under a CC-BY 4.0 license. Cheuk Lau was an Insight Fellow in Fall 2018, where he automated the deployment of a web app across multiple availability zones. He is now working at Bosch helping them build the infrastructure for their artificial intelligence team. Prior to Insight, Cheuk was a Computational Physicist at Lawrence Livermore National Lab.
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.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
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%.
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.
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.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
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.
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.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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.
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. .
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
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.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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