O'Reilly on Data

NOVEMBER 13, 2018

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.

Machine Learning 223

Machine Learning Risk Management Statistics 223

Bruno Aziza

NOVEMBER 11, 2018

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

Data-driven 107

Data-driven Insurance Analytics Big Data 107

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 […].

Data-driven 96

Data-driven Data Lake Data Warehouse Business Intelligence 96

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.

Data Lake 90

Data Lake Data Warehouse IT 90

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

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.

Internet of Things 75

Internet of Things Cost-Benefit Technology Testing 75

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%.

Risk Management 49

Risk Management Risk Technology Management 49

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.

Data Collection 84

Data Collection IT 84

Cloudera

NOVEMBER 14, 2018

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.

Manufacturing 41

Manufacturing Machine Learning IoT Modeling 41

3AG Systems

NOVEMBER 16, 2018

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.

Software 40

Software IT 40

Decision Management Solutions

NOVEMBER 13, 2018

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.

Insurance 40

Insurance Analytics Modeling Visualization 40

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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

Nutanix

NOVEMBER 13, 2018

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.

Reporting 20

Reporting Enterprise IT 20

Nutanix

NOVEMBER 13, 2018

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.

Digital Transformation 20

Digital Transformation Strategy IT 20