CIO Business Intelligence

AUGUST 15, 2024

Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts. In the enterprise, huge expectations have been partly driven by the major consumer reaction following the release of ChatGPT in late 2022, Stephenson suggests.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

CIO Business Intelligence

JUNE 16, 2022

By George Trujillo, Principal Data Strategist, DataStax. Any enterprise data management strategy has to begin with addressing the 800-pound gorilla in the corner: the “innovation gap” that exists between IT and business teams. This scarcity of quality data might feel akin to dying of thirst in the middle of the ocean.

IT 135

IT Experimentation IoT Data-driven 135

Occam's Razor

AUGUST 22, 2011

Be data driven?" Six Rules For Creating A Data Driven Boss! Be data driven?" Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. The Ultimate Web Analytics Data Reconciliation Checklist.

KPI 125

KPI Metrics Measurement ROI 125

CIO Business Intelligence

JULY 24, 2024

Key strategies for exploration: Experimentation: Conduct small-scale experiments. Data-driven decisions: Leverage data and analytics to assess new technologies’ potential impact and ROI. IDC is a wholly owned subsidiary of International Data Group (IDG Inc.), Contact us today to learn more.

Technology 98

Technology Experimentation Cost-Benefit Digital Transformation 98

CIO Business Intelligence

FEBRUARY 16, 2024

ADP remains the 500-pound gorilla in payroll and, with its rich data, can literally tell you what’s really moving the economy,” said Pete A. ADP Data Cloud is one of the “richest datasets in the world,” and this enables the company to anonymize, customize, and monetize its data stockpile in many new ways for its client base, Nagrath claims.

Digital Transformation 116

Digital Transformation Experimentation Cost-Benefit Machine Learning 116

DataKitchen

MARCH 8, 2023

These three objectives are interconnected and essential to the success of any data team. Delivering insight to customers without error is critical to the success of any data team. The team must ensure that the data they are working with is clean and accurate and that the analysis created from it is rigorous and reliable.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

datapine

FEBRUARY 4, 2020

Today’s digital data has given the power to an average Internet user a massive amount of information that helps him or her to choose between brands, products or offers, making the market a highly competitive arena for the best ones to survive. First things first – organizing and prioritizing your marketing data.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

MARCH 23, 2010

Javascript tag driven click data processed in the cloud provided through a web based front end that allows you to segment and create meaningful views of the data unique to you. Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. This instant.

Analytics 119

Analytics Consulting Metrics Experimentation 119

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. The last 10+ years or so have seen Insurance become as data-driven as any vertical industry.

Insurance 150

Insurance Risk IoT Data-driven 150

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Then you build a massive data store that you can query for data to analyze. They also reveal things that starting to become scary (Privacy! EU Cookies!) That is the solution.

Modeling 125

Modeling Metrics Data Quality Data-driven 125

CIO Business Intelligence

APRIL 6, 2022

Our world today is experiencing an extremely social, connected, competitive and technology-driven business environment. While enterprises invest in innovation, key challenges such as successful sustenance, ROI realization, scaling and accelerating still remain. . Accelerate Innovation.

Experimentation 103

Experimentation Uncertainty Data Lake Enterprise 103

CIO Business Intelligence

DECEMBER 29, 2023

The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools. Here, we detail those and others that comprise eight of the top priorities for CIOs in 2024.

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The R&D laboratories produced large volumes of unstructured data, which were stored in various formats, making it difficult to access and trace.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

DataRobot Blog

JANUARY 12, 2023

By outsourcing the day-to-day management of the data science platform to the team who created the product, AI builders can see results quicker and meet market demands faster, and IT leaders can maintain rigorous security and data isolation requirements. Delivering more than 1.4 Sudhir Hasbe.

Management 59

Management Data-driven ROI Data Science 59

CIO Business Intelligence

JULY 17, 2023

What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business? Data and cybersecurity issues challenge every IT leader. With cybersecurity and data protection, end-user awareness presents itself as a key challenge. We are working on similar projects for supply chain as well.

IT 98

IT Digital Transformation IoT Internet of Things 98

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment.

Data Processing 72

Data Processing Experimentation Machine Learning Data Warehouse 72

DataRobot Blog

NOVEMBER 15, 2022

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Experimentation Machine Learning Data-driven 52

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Without large amounts of labeled training data solving most AI problems is not possible.

Management 110

Management Machine Learning Experimentation Metrics 110

DataRobot

JANUARY 13, 2022

Many companies find that they have a treasure trove of data but lack the expertise to use it to improve ROI. AI can help them wrangle the data that’s collected and quickly answer important questions. But they often don’t have enough data scientists with the full range of domain expertise to realize its full value.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. ML model interpretability and data visualization. back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Ontotext

APRIL 3, 2024

Joseph Hilger : People are starting to understand that knowledge graphs are not just a tool for storing data and information. I need something that defines what those entities are and can align them with the data.” The other use case where graphs are exploding is what Gartner calls a data fabric. What are your thoughts about it?

Technology 45

Technology Risk Digital Transformation Measurement 45

CIO Business Intelligence

JANUARY 14, 2025

The time for experimentation and seeing what it can do was in 2023 and early 2024. So the organization as a whole has to have a clear way of measuring ROI, creating KPIs and OKRs or whatever framework theyre using. What ROI will AI deliver? Both types of projects deserve attention, even as many CIOs still struggle to find ROI.

Strategy 141

Strategy ROI Experimentation Risk 141

CIO Business Intelligence

JANUARY 7, 2025

Organizations will always be transforming , whether driven by growth opportunities, a pandemic forcing remote work, a recession prioritizing automation efficiencies, and now how agentic AI is transforming the future of work. 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

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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

CIO Business Intelligence

FEBRUARY 19, 2025

If 2023 was the year of experimentation with gen AI, 2024 was when companies zeroed in on use cases and started putting pilot projects into production. In a survey of 2,300 IT decision makers that IBM released in December, 47% say theyre already seeing ROI from their AI investments, and 33% say theyre breaking even on AI.

ROI 137

ROI Marketing Sales Software 137

CIO Business Intelligence

MARCH 14, 2025

Ambitious businesses are already eyeing the next leap forward in AI technology fuelled by the growing imperative to deliver business success driven by digital innovation. All of this will combine to undermine your AI strategy and leave you stuck in unsuccessful experimentation mode. Where are you starting from?

ROI 101

ROI Experimentation Strategy Data-driven 101

CIO Business Intelligence

JANUARY 13, 2025

Shift AI experimentation to real-world value Generative AI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.

Experimentation 140

Experimentation Strategy ROI Digital Transformation 140

CIO Business Intelligence

JANUARY 8, 2025

This involves the integration of digital technologies into its planning and operations like adopting cloud computing to sustain and scale infrastructure seamlessly, using AI to improve user experience through natural language communication, enhancing data analytics for data-driven decision making and building closed-loop automated systems using IoT.

Experimentation 111

Experimentation Digital Transformation Cost-Benefit ROI 111

CIO Business Intelligence

FEBRUARY 5, 2025

Half of CFOs say they plan to cut AI funding if it doesnt show measurable ROI within a year, according to a global survey from accounts payable automation firm Basware, which included 400 CFOs and finance leaders. CIOs are under pressure to validate AI investments and assure CFOs of a clear path of implementation that will ensure ROI.

Cost-Benefit 117

Cost-Benefit ROI Metrics Measurement 117

CIO Business Intelligence

JANUARY 15, 2025

It helps business owners understand what the invoices are, when to send out reminders, and how to collect money, says Ashok Srivastava, Intuits chief data officer. The case for education AI leaders are reporting clear financial benefits to their gen AI deployments, but the promise of early adoption is more than just short-term ROI.

Cost-Benefit 141

Cost-Benefit ROI Reporting Software 141

CIO Business Intelligence

MARCH 26, 2025

He says, My role evolved beyond IT when leadership recognized that platform scalability, AI-driven matchmaking, personalized recommendations, and data-driven insights were crucial for business success. In a world of data-sharing, operating in silos is never a smart decision.

Business Objectives 103

Business Objectives Finance Digital Transformation Data-driven 103

Ontotext

DECEMBER 6, 2024

Building a RAG prototype is relatively easy, but making it production-ready is hard with organizations routinely getting stuck in experimentation mode. In the process of chasing “RAG everything or plugging LLM integration everywhere into everything, organizations often lose sight of the high compute and low ROI of traditional RAG.

Modeling 59

Modeling Cost-Benefit Experimentation Optimization 59

Timo Elliott

JANUARY 27, 2025

For example, AI-powered tools can automate data analysis, customer service, and supply chain management. Skill Gaps : Leveraging AI requires a workforce skilled in data science, machine learning, and related disciplines. However, reaping its full benefits requires more than simply plugging it in to existing workflows.

Manufacturing 52

Manufacturing Cost-Benefit Experimentation ROI 52

Timo Elliott

FEBRUARY 7, 2025

Economic uncertainty, geopolitical instability, and the explosion of AI-driven initiatives mean that enterprise architects must redefine their roles to remain relevant and valuable. Facilitating a business-driven approach to modernization ensuring that technology investments align with business objectives rather than just IT priorities.

Enterprise 52

Enterprise IT Digital Transformation Cost-Benefit 52