O'Reilly on Data

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training. In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning.

IoT 207

IoT Machine Learning Internet of Things Data Science 207

BA Learnings

JANUARY 11, 2019

In order to keep your business competitive, drive growth, ensure continuous improvement and enhance profits, a Business Intelligence (BI) strategy is essential. But a BI strategy is not just about technology or choosing the right platform. Like any part of your business, BI requires strategy, planning, buy-in, execution and continuous review. In this blog post, we will look at the key steps to implementing a business intelligence strategy.

Business Intelligence 100

Business Intelligence Strategy Key Performance Indicator Cost-Benefit 100

Occam's Razor

JANUARY 7, 2019

Some moments in time are perfect to reflect on where you are, what your priorities are, and then consider what you should start-stop-continue. In those moments, you are not thinking of delivering incremental change… You are driven by a desire to deliver a step change (a large or sudden discontinuous change, especially one that makes things better – I’m borrowing the concept from mathematics and technology, from “step function”).

Marketing Analytics 89

Marketing Analytics Marketing Analytics Strategy 89

Martha Bennett

JANUARY 8, 2019

Depending on who you listen to, the combination of GDPR and distributed ledger technology (DLT, AKA blockchain) is either a poisonous cocktail or a magic potion. As you’d expect, the reality is more nuanced: While GPDR poses a challenge to DLT-based architectures, it doesn’t make them obsolete or unviable. Furthermore, DLT can actually form an integral […].

Technology 96

Technology Risk Management IT Risk 96

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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?

Business Intelligence

IBM Big Data Hub

JANUARY 10, 2019

Enterprise leaders understand the importance of integrating AI into their business models. However, there's a big difference between experimenting with AI and true enterprise-grade integration of AI.

Enterprise 78

Enterprise Modeling 78

BA Learnings

JANUARY 5, 2019

You meet a client to discuss a problem. You present the facts and suggest solutions. They refuse to acknowledge your ideas. Worse still, they even refuse to accept the facts or shift their perspective. What can a Business Analyst do in such circumstances? Here are five ways to minimize confrontation, manage denial and find ways forward on business projects. 1.

Management 100

Management Risk IT 100

MLWhiz

JANUARY 5, 2019

Recently I started up with a competition on kaggle on text classification, and as a part of the competition, I had to somehow move to Pytorch to get deterministic results. Now I have always worked with Keras in the past and it has given me pretty good results, but somehow I got to know that the CuDNNGRU/CuDNNLSTM layers in keras are not deterministic, even after setting the seeds.

IT 75

IT 75

IBM Big Data Hub

JANUARY 8, 2019

Data science was one of the hot topics of 2018, and it’s likely to dominate again in 2019. We've asked five key data science influencers to take a look back at 2018 and look ahead at what's to come in 2019.

Data Science 78

Data Science 78

Timo Elliott

JANUARY 5, 2019

Here’s a short recording explaining how the intelligent enterprises of the future can use the latest technologies such as machine learning to optimize the end-to-end customer experience, increase productivity, and improve workforce engagement.

Enterprise 63

Enterprise Machine Learning Optimization Technology 63

Teradata

JANUARY 7, 2019

David Socha compares Karl Benz and Sigmund Freud, two people that fundamentally and indisputably influenced how we live today.

75

75

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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.

Data-driven

Martha Bennett

JANUARY 8, 2019

Depending on who you listen to, the combination of GDPR and distributed ledger technology (DLT, AKA blockchain) is either a poisonous cocktail or a magic potion. As you’d expect, the reality is more nuanced: While GPDR poses a challenge to DLT-based architectures, it doesn’t make them obsolete or unviable. Furthermore, DLT can actually form an integral […].

Technology 52

Technology Risk Management IT Risk 52

IBM Big Data Hub

JANUARY 7, 2019

Are you working to collect, organize, analyze or modernize your company’s data? Is your business on the ladder to AI? Then you should join us at IBM Think 2019, the event of the year for analytics pros and business leaders.

Analytics 76

Analytics 76

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Introduction. Welcome back to our monthly series about data science.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

The Data Visualisation Catalogue

JANUARY 7, 2019

For two years in a row now, I’ve published what chart reference pages have been the most popular on the website. In the initial post in April 2017 , I looked at this data from the launch of the website (26 th December 2013) till 1 st February 2017 (so around 3 years worth of data). While, the post from last year looked at the data from 6 th Jan 2017 to 6 th Jan 2018, which only showed the page views from a single year.

Publishing 44

Publishing Management IT Analytics 44

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.

Marketing

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results. A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits –

Data Governance 40

Data Governance Risk Metadata Management 40

IBM Big Data Hub

JANUARY 7, 2019

Find out more about how the IBM Data Science Elite team helped Experian succeed at better analyzing their data at Think 2019.

Data Science 78

Data Science 78

Data Virtualization

JANUARY 10, 2019

Allow me to introduce the (fictitious) Advanced Banking Corporation, or ABC for short. It may be advanced in name, but its IT systems are anything but. ABC will be our constant companion as we explore all three scenarios for data. The post Gaining Real Time Insight appeared first on Data Virtualization and Modern Data Management.

Management 40

Management IT Data Warehouse Enterprise 40

Smarten

JANUARY 8, 2019

What Are the Advantages of Augmented Analytics? Advanced analytics benefits are too numerous to mention! What if your business users could leverage self-serve advanced analytics to see and use data in a way that made their jobs easier and made them more of an asset to the business? Augmented Analytics advantages support users by empowering them and encouraging user adoption with auto-recommendations and suggestions that help them visualize data in a way that makes sense for the type of data they

Analytics 40

Analytics Predictive Modeling Visualization Business Analysis 40

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.

Business Intelligence

3AG Systems

JANUARY 8, 2019

Customer analysis may be the most important market segmentation analysis you can perform for your business. Without it, trying to find new customers, or selling more services to existing customers, will likely have limited success. Unless you really get to know your customers, your business won’t be a in position to meet their needs. The traditional approach to customer analysis is often driven by marketing because this team needs to understand the customer to target them directly.

Data-driven 40

Data-driven Finance Marketing Sales 40

Teradata

JANUARY 10, 2019

Reinforcement learning is the machine learning approach that is behind some of the most talked about advances in AI.

Enterprise 40

Enterprise Machine Learning 40

Nutanix

JANUARY 8, 2019

The tangible benefits of the enterprise cloud are transforming retail. These cloud-driven changes are more than a marginal evolution toward more efficient, scalable, and connected business systems.

Enterprise 20

Enterprise 20

Teradata

JANUARY 10, 2019

Reinforcement learning is the machine learning approach that is behind some of the most talked about advances in AI.

Enterprise 40

Enterprise Machine Learning 40

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.

Data-driven

Nutanix

JANUARY 7, 2019

The volume and sophistication of cyber attacks along with extensive losses from successful exploits being covered in the media have made security a top priority for IT leadership. No business wants to make headlines because of a security breach.

IT 20

IT 20

Nutanix

JANUARY 6, 2019

We recently caught up with Greg White, Director of Alliance Marketing at Commvault, to talk about the Commvault and Nutanix partnership and his expectations for the upcoming.NEXT conference.

Marketing 20

Marketing 20