CIO Business Intelligence

APRIL 24, 2025

We have achieved a productivity improvement of $3.5 In IBMs human resources function, its AskHR agent has been used to automate 94% of simple tasks such as vacation requests and pay statements. This integrated approach enables IBM to manage work across various departments and functions from a single interface. The bottom line?

Finance 127

Finance Strategy Sales Optimization 127

AWS Big Data

MAY 2, 2025

You can now access the AI search flow builder on OpenSearch 2.19+ domains with Amazon OpenSearch Service and begin innovating AI search applications faster. Through a visual designer, you can configure custom AI search flowsa series of AI-driven data enrichments performed during ingestion and search.

Machine Learning 98

Machine Learning Visualization Dashboards Metadata 98

CIO Business Intelligence

JANUARY 1, 2025

Specifically, the most recent has to do with launching a completely redesigned web platform.This new versionincludes more than 100 advanced functionalities that allow travel agencies to optimize efficiency and offer a better service to clients, he says.

Strategy 113

Strategy Digital Transformation Optimization Technology 113

O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. However, the concept is quite abstract.

IT 364

IT Testing Experimentation Software 364

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products. AI is no different.

Management 364

Management Experimentation B2B Machine Learning 364

O'Reilly on Data

SEPTEMBER 15, 2020

User stakeholders are interested in benefiting from the platform’s functionality: staying up-to-date, quickly finding new people and topics to follow, and engaging with family and friends. AI Goals as a Function of Maturity. In an early stage of AI maturity, we can build AI solutions that reduce search friction (e.g.,

Advertising 362

Advertising Cost-Benefit ROI Machine Learning 362

Rocket-Powered Data Science

JUNE 17, 2022

I was able to see a lot, learn a lot, be impressed a lot, and ponder a lot about all of the wonderful features, functionalities, and future plans for the Splunk platform. I have written and spoken frequently and passionately about Observability in the past couple of years. Reference ) Splunk Enterprise 9.0 is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

CIO Business Intelligence

JANUARY 21, 2025

CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. CIO should bet on change management programs and evangelizing high-quality agents with whom employees collaborate to deliver value beyond productivity. Why focus on the marketing department?

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

O'Reilly on Data

MARCH 24, 2020

Collecting the right data requires a principled approach that is a function of your business question. This definition of low-quality data defines quality as a function of how much work is required to get the data into an analysis-ready form. The model and the data specification become more important than the code.

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

O'Reilly on Data

MARCH 18, 2020

The update sheds light on what AI adoption looks like in the enterprise— hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. Most companies that were evaluating or experimenting with AI are now using it in production deployments.

Enterprise 350

Enterprise Deep Learning Data Governance Risk 350

O'Reilly on Data

MARCH 25, 2025

People have been building data products and machine learning products for the past couple of decades. With the advent of generative AI, therell be significant opportunities for product managers, designers, executives, and more traditional software engineers to contribute to and build AI-powered software. This isnt anything new.

Testing 184

Testing Data-driven Software Measurement 184

AWS Big Data

DECEMBER 10, 2024

The custom authentication extension calls an Azure function (your REST API endpoint) with information about the event, user profile, session data, and other context. The Azure function makes a call to the Microsoft Graph API to retrieve the authenticated users group membership information.

Sales 105

Sales Metadata Enterprise Testing 105

AWS Big Data

NOVEMBER 11, 2024

You can use this approach for a variety of use cases, from real-time log analytics to integrating application messaging data for real-time search. For example, you may consider one stream for each major log type in your production workload. Organizations might consider a centralized log aggregation approach for a variety of reasons.

Metadata 122

Metadata Metrics Analytics Data Processing 122

AWS Big Data

NOVEMBER 22, 2024

However, the data migration process can be daunting, especially when downtime and data consistency are critical concerns for your production workload. Lucene index and shard: OpenSearch is built as a distributed system on top of Apache Lucene, an open-source high-performance text search engine library.

Snapshot 98

Snapshot Metadata Recreation/Entertainment Data Processing 98

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. Why AI software development is different.

Management 363

Management Machine Learning Experimentation Metrics 363

AWS Big Data

NOVEMBER 19, 2024

Organizations of all sizes and types are using generative AI to create products and solutions. A common adoption pattern is to introduce document search tools to internal teams, especially advanced document searches based on semantic search. The following diagram depicts the solution architecture.

Management 98

Management Metadata Manufacturing Testing 98

CIO Business Intelligence

JANUARY 7, 2025

Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. 2025 will be the year when generative AI needs to generate value, says Louis Landry, CTO at Teradata.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

CIO Business Intelligence

NOVEMBER 6, 2024

AI enables the democratization of innovation by allowing people across all business functions to apply technology in new ways and find creative solutions to intractable challenges. Stoddard recognizes executives must be cautious because gen AI can be used less productively. But it’s not all good news.

Forecasting 132

Forecasting Risk Technology Strategy 132

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. A few factors are contributing to this strong interest in implementing ML in products and services. There are three common issues that diminish the value of ML models once they’re in production.

Modeling 258

Modeling Machine Learning Testing Metrics 258

CIO Business Intelligence

DECEMBER 10, 2024

times greater productivity improvements than their peers, Accenture notes, which should motivate CIOs to continue investing in AI strategies. Many early gen AI wins have centered around productivity improvements. Paul Boynton, co-founder and COO of Company Search Inc., These reinvention-ready organizations have 2.5

Sales 143

Sales Metrics Data-driven Unstructured Data 143

AWS Big Data

NOVEMBER 11, 2024

OpenSearch is a distributed search and analytics engine, which is an open-source project. OpenSearch Service seamlessly integrates with other AWS offerings, providing a robust solution for building scalable and resilient search and analytics applications in the cloud.

Snapshot 111

Snapshot Strategy Dashboards Data Lake 111

CIO Business Intelligence

MAY 22, 2025

The real key to effective AI in cybersecurity is giving it access to the data that makes your environment unique, and typically, this is data which is traditionally hard to operationalize in a cyber security context, says James Spiteri, director of product management for generative AI and machine learning at Elastic.

Analytics 97

Analytics Unstructured Data Machine Learning Modeling 97

CIO Business Intelligence

NOVEMBER 13, 2024

And in August, OpenAI said its ChatGPT now has more than 200 million weekly users — double what it had last November, with 92% of Fortune 500 companies using its products. AI has moved out of the IT function and is being pushed out more widely in the organization,” says Ian Beston, director at Coleman Parkes Research.

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

JANUARY 14, 2025

No small group can envision all the ways generative AI can transform daily work for every individual team/function, but they could provide input on the big strategic bets that you want to dedicate time and resources toward. Employees will find ways to drive incremental value, efficiency, and automation. How confident are we in our data?

Strategy 141

Strategy ROI Experimentation Consulting 141

CIO Business Intelligence

NOVEMBER 27, 2024

Conversely, some of the other inappropriate advice found in Google searches might have been avoided if the origin of content from obviously satirical sites had been retained in the training set. One product database he dealt with, for instance, didn’t have a field for product serial numbers, so staff put them in the weight field.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

David Menninger's Analyst Perspectives

MAY 6, 2025

Natural language interfaces for business intelligence products existed long before the emergence of generative artificial intelligence. As I previously noted , however, facilitating business user access to data is more challenging than adding GenAI interfaces to existing BI products.

Analytics 130

Analytics Business Intelligence Interactive Data-driven 130

CIO Business Intelligence

DECEMBER 18, 2024

For the uninitiated, agent skills are actions or functions that a particular agent can take on behalf of a human worker, without any user intervention. Additionally, Adam Evans, senior vice president of product at Salesforces AI division, pointed out in an interview with CIO.com that these skills can be remixed to suit any use case.

Enterprise 98

Enterprise IT Sales Metadata 98

O'Reilly on Data

JULY 11, 2023

OK, I just typed “How much of a software developer’s time is spent coding” into the search bar and looked at the top few articles, which gave percentages ranging from 10% to 40%. Spending more time on these things—and leaving the details of pushing out lines of code to an AI—will surely improve the quality of the products we deliver.

Testing 274

Testing Software Visualization Interactive 274

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight.

Data Lake 110

Data Lake Sales Metadata Machine Learning 110

AWS Big Data

JANUARY 9, 2024

What users expect from search engines has evolved over the years. Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Only items that have words the user typed match the query.

Visualization 119

Visualization Cost-Benefit Modeling Machine Learning 119

Smart Data Collective

MARCH 10, 2021

Smart Contextual Search. Thus, eCommerce businesses also use AI for big data analytics related to consumer preferences, trending products, customer journey, etc. Smart search is based on a similar premise and uses AI to give users search predictions that are more likely to result in a purchase. Retargeting.

Cost-Benefit 143

Cost-Benefit Big Data Metrics Technology 143

David Menninger's Analyst Perspectives

APRIL 24, 2025

The need to address these requirements is the driving force behind Progress Softwares data-related product strategy, which brings multiple products together as the Progress Data Platform to help customers accelerate data, analytics and AI projects. Together, these products generated revenue of $753.4

Unstructured Data 130

Unstructured Data Machine Learning Software Data Processing 130

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

Rocket-Powered Data Science

JULY 21, 2023

Despite the thousands of miles (and kilometers) of separation, I could feel the excitement in the room as numerous announcements were made, individuals were honored, customer success stories were presented, and new solutions and product features were revealed. This reflected my strong interest in observability at that time.

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

O'Reilly on Data

JANUARY 17, 2023

.”) So now you tweak the classifier’s parameters and try again, in search of improved performance. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

datapine

JULY 6, 2022

1) What Are Productivity Metrics? 2) How To Measure Productivity? 3) Productivity Metrics Examples. 4) The Value Of Workforce Productivity Metrics. For years, businesses have experimented and narrowed down the most effective measurements for productivity. What Are Productivity Metrics? Table of Contents.

Measurement 243

Measurement Metrics KPI Sales 243

David Menninger's Analyst Perspectives

SEPTEMBER 19, 2024

While there is an ongoing need for data platforms to support data warehousing workloads involving analytic reports and dashboards, there is increasing demand for analytic data platform providers to add dedicated functionality for data engineering, including the development, training and tuning of machine learning (ML) and GenAI models.

Data Warehouse 130

Data Warehouse Data Science Data Governance Machine Learning 130