O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. And you, as the product manager, are caught between them.

Management 339

Management Machine Learning Experimentation Metrics 339

Corinium

JUNE 6, 2019

Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. Regulations and compliance requirements, especially around pricing, risk selection, etc., Analytics is a powerful capability enabler to help Insurers transform their operations and services.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Information governance enables enterprises to achieve strategic goals, mitigate risk, and reduce costs. Conversations suggest that AI is already transforming most major industries.

Advertising 86

Advertising Recreation/Entertainment Experimentation Enterprise 86

CIO Business Intelligence

APRIL 6, 2022

Large enterprises that have traditionally been risk-averse are now adopting new approaches such as investing in design and innovation studios, partnering with startups for niche capabilities, and gaining early access to technology through strategic partnerships with hyper-scalers.

Experimentation 81

Experimentation Data Lake Uncertainty Enterprise 81

CIO Business Intelligence

MAY 10, 2023

Sundararajan has redefined the company’s purpose of reimagining global agriculture and food systems, and this is buoyed by his beliefs in good leadership: the ability to manage ambiguity and look at things through an experimental framework, which can open doors to more possibilities for the business.

Enterprise 52

Enterprise Digital Transformation Internet of Things B2B 52

Cloudera

AUGUST 2, 2018

It goes unnoticed but cyber threats are routinely hunted down by correlating hundreds of attributes from disparate data sources – even as data types and formats evolve. Leading insurers are underwriting policies with lower risks.

Data Warehouse 51

Data Warehouse Insurance Experimentation Software 51

DataKitchen

MARCH 8, 2023

These errors can significantly impact the final data product’s quality, reliability, and timeliness. The day-to-day production of data analytics is also a manufacturing process. DataOps Observability is an essential practice in modern data-driven organizations that ensures real-time insights into the manufacturing process.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Life insurance needs accurate data on consumer health, age and other metrics of risk. ML can keep up.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

FEBRUARY 3, 2023

The technology team has grown from 25 to 60 people over the last three years, with Hobbs now supported by heads of development, data, operations and digital performance, as well as a CISO and head of delivery. We needed to scale up our platform and make sure customers still received the great experience they were used to.”

IT 52

IT Experimentation Scorecard Digital Transformation 52

CIO Business Intelligence

JULY 7, 2023

As more individuals use browser-based apps to get their work done, IT leaders need to provide seamless access to corporate apps and tools while minimizing security risks. Finding the right use cases for AI while minimizing risk to the business requires collaboration between IT and the workforce. Caution is king, however.

Measurement 111

Measurement Risk Experimentation Enterprise 111

IBM Big Data Hub

OCTOBER 20, 2023

By exploring data from different perspectives with visualizations, you can identify patterns, connections, insights and relationships within that data and quickly understand large amounts of information. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

IBM Big Data Hub

JANUARY 17, 2023

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. You can select a hybrid integration strategy that aligns with your organization’s business strategy to meet the needs of your data consumers wanting to access and utilize the data. Start a trial.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. About the Authors Eliad Gat is a Big Data & AI/ML Architect at Orca Security. Oded Lifshiz is a Principal Software Engineer at Orca Security.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

O'Reilly on Data

SEPTEMBER 11, 2019

Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. This is noteworthy for several reasons: first, the top three terms in our data set relate in one way or another to ML. Big data, analytics, security, and other items of note.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

CIO Business Intelligence

JULY 6, 2023

His responsibilities span the entire IT spectrum, encompassing the IT infrastructure and network, Security, SAP, Business applications, Data Analytics, and digital footprint. What do you do to foster a culture of innovation and experimentation in your employees? Only experimentation can help to improve this index.

Digital Transformation 94

Digital Transformation Experimentation Recreation/Entertainment Technology 94

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto was able to achieve this level of scalability by completely separating analytical compute from data storage. Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes.

OLAP 87

OLAP Data Lake Data-driven Snapshot 87

Sisense

NOVEMBER 23, 2020

Alex Antic, voted as one of the top 10 analytics leaders in Australia by IAPA, and Sisense VP and GM of Cloud Data Teams, Scott Castle, recently discussed these findings, diving deep into how COVID presents countless challenges but also fresh opportunities for data analytics professionals. . Who is leading the way?

Analytics 98

Analytics Data-driven Marketing Reporting 98