DataRobot

JANUARY 20, 2022

As health and care delivery converges, analytical staff will be required to work across more boundaries with larger volumes of data than ever before. . Specialized teams from DataRobot and Snowflake will enable ICSs to mitigate data governance and model bias risk with confidence. Public sector data sharing.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

CIO Business Intelligence

DECEMBER 19, 2023

In the 2023 State of Data Science and Machine Learning Report , only 18% of respondents said that at least half their machine learning models make it into production. If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

IBM Big Data Hub

JUNE 10, 2024

Cloud-based XaaS offerings provide organizations with the agility to scale resources up or down based on demand, enabling optimal resource utilization and cost efficiency. With granular insights into resource consumption, businesses can identify opportunities for optimization and allocate budgets more effectively.

Experimentation 62

Experimentation Optimization Risk Management Machine Learning 62

Cloudera

JANUARY 28, 2022

Customers vary widely on the topic of public cloud – what data sources, what use cases are right for public cloud deployments – beyond sandbox, experimentation efforts. Portable, interoperable data services for the lifecycle of data across clouds. Hybrid Data Cloud includes a Multi-cloud approach.

Slice and Dice 115

Slice and Dice Cost-Benefit Data Governance Risk 115

CIO Business Intelligence

JUNE 14, 2023

CompTIA Data+ The CompTIA Data+ certification is an early-career data analytics certification that validates the skills required to facilitate data-driven business decision-making. They should also have experience with pattern detection, experimentation in business, optimization techniques, and time series forecasting.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

AUGUST 14, 2024

Organizations typically start with the most capable model for their workload, then optimize for speed and cost. After the excitement and experimentation of last year, CIOs are more deliberate about how they implement gen AI, making familiar ROI decisions, and often starting with customer support.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

CIO Business Intelligence

AUGUST 1, 2023

But with all the excitement and hype, it’s easy for employees to invest time in AI tools that compromise confidential data or for managers to select shadow AI tools that haven’t been through security, data governance, and other vendor compliance reviews.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. To build a SQL query, one must describe the data sources involved and the high-level operations (SELECT, JOIN, WHERE, etc.)

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

AWS Big Data

SEPTEMBER 13, 2024

The AWS pay-as-you-go model and the constant pace of innovation in data processing technologies enable CFM to maintain agility and facilitate a steady cadence of trials and experimentation. In this post, we share how we built a well-governed and scalable data engineering platform using Amazon EMR for financial features generation.

Interactive 110

Interactive Strategy Cost-Benefit Data Governance 110

AWS Big Data

OCTOBER 4, 2023

Collaboration – Analysts, data scientists, and data engineers often own different steps within the end-to-end analytics journey but do not have an simple way to collaborate on the same governed data, using the tools of their choice. This is more than mere data; it’s our dynamic journey.”

Metadata 118

Metadata Data Lake Publishing Data Governance 118

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions provide new clients with affordable and high impact capabilities to expeditiously explore and validate the path to become a data-driven enterprise. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. The utility for cloning and experimentation is available in the open-sourced GitHub repository.

Data Architecture 96

Data Architecture Metadata Data Lake Snapshot 96

Cloudera

FEBRUARY 16, 2022

Support for multiple sessions within a project allows data scientists, engineers and operations teams to work independently alongside each other on experimentation, pipeline development, deployment and monitoring activities in parallel. CML now supports experiment tracking using MLflow. .

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Alation

DECEMBER 14, 2021

These systems offer numerous web-centric features that bolster customer service and engagement, provide server scalability during periods of fluctuating traffic, and allow easy experimentation with new technologies and promotional strategies. Optimized business continuity. What is cloud-optimized? Cloud performance.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 364

Marketing Experimentation Metrics Testing 364

CIO Business Intelligence

APRIL 9, 2025

Absent governance and trust, the risks are higher as organizations adopt increasingly sophisticated analytics. Without rock-solid data foundations, even the most advanced ML models merely provide artful analysis. Getting the right data governance significantly affects operational efficiency and risk as well.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Corinium

APRIL 25, 2019

Most enterprises in the 21st century regard data as an incredibly valuable asset – Insurance is no exception - to know your customers better, know your market better, operate more efficiently and other business benefits. Ideally the decision of how to protect data should be treated like any other data governance policy.

Insurance 150

Insurance Risk IoT Data-driven 150

CIO Business Intelligence

FEBRUARY 14, 2024

Introduce gen AI capabilities without thinking about data hygiene, he warns, and people will be disillusioned when they haven’t done the pre work to get it to perform optimally. At the beginning of 2023, Gartner reported only 15% of organizations already have data storage management solutions that classify and optimize data.

IT 143

IT Metadata Data-driven Management 143

CIO Business Intelligence

NOVEMBER 19, 2024

This stark contrast between experimentation and execution underscores the difficulties in harnessing AI’s transformative power. Data privacy and compliance issues Failing: Mismanagement of internal data with external models can lead to privacy breaches and non-compliance with regulations.

Consulting 137

Consulting Cost-Benefit Experimentation Optimization 137

CIO Business Intelligence

MARCH 18, 2025

Adobe said Agent Orchestrator leverages semantic understanding of enterprise data, content, and customer journeys to orchestrate AI agents that are purpose-built to deliver targeted and immersive experiences with built-in data governance and regulatory compliance.

B2B 64

B2B Experimentation Optimization Journey Analytics 64

CIO Business Intelligence

APRIL 16, 2025

Innovator/experimenter: enterprise architects look for new innovative opportunities to bring into the business and know how to frame and execute experiments to maximize the learnings. to identify opportunities for optimizations that reduce cost, improve efficiency and ensure scalability.

Enterprise 124

Enterprise Strategy Risk Business Objectives 124

CIO Business Intelligence

MAY 6, 2025

This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action. Think of the next-best-offer algorithms in e-commerce, dynamic hospitality pricing or logistics route optimization. These capabilities are no longer theoretical or experimental.

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78