Sat.Nov 10, 2018 - Fri.Nov 16, 2018

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Managing risk in machine learning

O'Reilly on Data

Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Let’s begin by looking at the state of adoption.

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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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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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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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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 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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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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An introduction to Federated Learning

Cloudera

We’re excited to release Federated Learning , the latest report and prototype from Cloudera Fast Forward Labs. Federated learning makes it possible to build machine learning systems without direct access to training data. The data remains in its original location, which helps to ensure privacy and reduces communication costs. This article is about the business case for federated learning.

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Is your dispatcher just putting vehicles on the road?

3AG Systems

It seems that most dispatching software focuses on providing back-office services. While these features are important as many companies struggle with paperwork, they mask the real challenge associated with running a business with significant transportation costs. Companies that deploy nurses, truck drivers, warehouse workers, or cleaning staff live or die based on how effectively they can deploy their teams.

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80% of insurance carriers aren’t delivering high impact analytics. Here’s how you can do better.

Decision Management Solutions

80% of data and analytics leaders with global life insurance and property & casualty carriers surveyed by McKinsey reported that their analytics investments are not delivering high impact. What’s stopping them from delivering high impact? 38% of those surveyed cited a failure to integrate analytics into workflows and frontline systems. This was the leading obstacle to high impact analytics, outscoring even poor data quality or a lack of strategic support or alignment.

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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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How We Got to Hyperconverged Infrastructure

Nutanix

With hyperconvergence adoption on the rise, it’s hard to believe HCI is a relatively new player in the grand scheme of IT. In fact, according to the State of the Enterprise Datacenter report, 67% of respondents are either using or are planning to adopt hyperconverged infrastructure.

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The Four Biggest Roadblocks that Slow Hybrid Cloud Adoption

Nutanix

Companies today are pursuing a hybrid cloud or multi-cloud strategy as a way to accelerate digital transformation and make IT services more agile and cost-effective.