November, 2018

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Building tools for enterprise data science

O'Reilly on Data

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.

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News and Announcements from Tableau and TC18

David Menninger's Analyst Perspectives

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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Predictions 2019: Steady Evolution In Blockchain Will Continue, Unless Disillusionment Causes A “Winter”

Martha Bennett

“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 […].

Risk 98
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Transform Your Organization From Data-Driven To Insights-Driven

Boris Evelson

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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15 Modern Use Cases for Enterprise Business Intelligence

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?

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What's the difference between data lakes and data warehouses?

IBM Big Data Hub

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.

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Inside the Mind and Methodology of a Data Scientist

Birst BI

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?

More Trending

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Allstate's Data-Driven Business Transformation Initiative

Bruno Aziza

Allstate is proving that an 87-year-old insurance company can adapt and compete on data and analytics.

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Reflections on remote data science work

Data Science and Beyond

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.

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The age of the citizen data scientist has arrived

CIO Business Intelligence

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.

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From data collection to data consumption

IBM Big Data Hub

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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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌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.

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What’s the big deal about Decentralized Consensus?

Insight

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.

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Lessons learned while helping enterprises adopt machine learning

O'Reilly on Data

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

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Small companies more likely to implement BI tools and data warehouses in the cloud

BI-Survey

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-

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Introducing pipe, The Automattic Machine Learning Pipeline

Data Science and Beyond

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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Marketing Operations in 2025: A New Framework for Success

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.

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Munich Re: How Data and AI Reduce Risk from Global Calamities

Bruno Aziza

How one firm is leveraging data and analytics to address catastrophic events.

Risk 97
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Developing a smarter way to drill for oil with analytics

IBM Big Data Hub

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.

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One Click Automation

Insight

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.

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Predictive Analytics for Every Skill and Use!

Smarten

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.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Predictions 2019: Steady Evolution In Blockchain Will Continue, Unless Disillusionment Causes A “Winter”

Martha Bennett

“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 […].

Risk 52
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What Ever Happened to GRC?

John Wheeler

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%.

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Trust the Process

Juice Analytics

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.

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How to build with IBM and MongoDB Enterprise Document Store

IBM Big Data Hub

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.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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.

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Five strategies for skills-based volunteering: Lessons learned from Cloudera Cares first-ever Global Day of Service

Cloudera

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.

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UBS Asset Management Taps Alternative Data to Increase Alpha

Bruno Aziza

In today’s highly competitive investments markets, asset managers are increasingly turning to so-called "alternative data" sources to deliver superior returns.

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How to Assign Pro Licenses to a Power BI Tenant

Paul Turley

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.

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Why Leading Software Vendors Are Dumping GRC for IRM

John Wheeler

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.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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OpenStack Adopts New Framework for Open Infrastructure

Hurwitz & Associates

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.

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The journey to AI is easier than you might think

IBM Big Data Hub

Only IBM has step by step framework that helps clients accelerate their journey to AI – and it starts with Information Architecture. .

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Cloudera Named a Fastest Growing Company by Deloitte for Fourth Year

Cloudera

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

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Traditional security with a universally high adoption across all sectors

BI-Survey

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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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.