CIO Business Intelligence

APRIL 30, 2025

At ServiceNow, theyre infusing agentic AI into three core areas: answering customer or employee requests for things like technical support and payroll info; reducing workloads for teams in IT, HR, and customer service; and boosting developer productivity by speeding up coding and testing. For others, integration remains the biggest obstacle.

IT 139

IT Sales Cost-Benefit Data-driven 139

David Menninger's Analyst Perspectives

MAY 15, 2025

However, both scenarios necessitate a proactive approach that prioritizes risk management strategies and cross-departmental collaboration. However, they do not yet exist nor could they be tested. This reality leads to documenting enterprise encryption inventory as a step every organization can take today. Regards, Jeff Orr

Enterprise 130

Enterprise Risk Measurement Risk Management 130

CIO Business Intelligence

JANUARY 14, 2025

Documentation and diagrams transform abstract discussions into something tangible. By articulating fitness functions automated tests tied to specific quality attributes like reliability, security or performance teams can visualize and measure system qualities that align with business goals.

Enterprise 119

Enterprise Technology Metrics Measurement 119

Smart Data Collective

DECEMBER 26, 2022

Let’s get started with a comprehensive cybersecurity strategy for your small business. The first step of a well-planned cybersecurity strategy is identifying the avenues of attack in your system. Test Out Your Plan. Plan your test to check if it’s worthy of implementation or not. Identify Threat Vectors.

Strategy 137

Strategy Testing Risk Software 137

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. Think sentiment analysis of customer reviews, summarizing lengthy documents or extracting information from medical records.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

APRIL 1, 2024

Here veteran IT leaders and advisers offer eight strategies to speed up IT modernization. One of the biggest uses for gen AI is solving for the millions of lines of code that we still use and that doesn’t have any documentation.” Digital Transformation, Enterprise Applications, IT Strategy, Software Development

Strategy 140

Strategy IT Digital Transformation ROI 140

Smart Data Collective

DECEMBER 13, 2021

And of course, the only way to make sure you handle this effectively and efficiently is to put a monitoring strategy in place. There are several steps to take, and many considerations to take onboard, when building your own SQL Server monitoring strategy, so here are just a few pieces of guidance that will help you avoid common pitfalls.

Strategy 126

Strategy Metrics Software Measurement 126

AWS Big Data

OCTOBER 11, 2024

By implementing a robust snapshot strategy, you can mitigate risks associated with data loss, streamline disaster recovery processes and maintain compliance with data management best practices. Testing and development – You can use snapshots to create copies of your data for testing or development purposes.

Snapshot 111

Snapshot Dashboards Management Testing 111

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. Only 4% pointed to lower head counts.

Enterprise 342

Enterprise Testing Modeling Reporting 342

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. That’s where remediation strategies come in.

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. This challenge remains deceptively overlooked despite its profound impact on strategy and execution. Publish metadata, documentation and use guidelines. This mindset creates long-term accountability and lifecycle awareness.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

O'Reilly on Data

JULY 15, 2019

A look at how guidelines from regulated industries can help shape your ML strategy. In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

AWS Big Data

OCTOBER 30, 2024

Collaborating closely with our partners, we have tested and validated Amazon DataZone authentication via the Athena JDBC connection, providing an intuitive and secure connection experience for users. Choose Test connection. Choose Test Connection. Get started with our technical documentation.

Visualization 119

Visualization Data Lake Testing Data Governance 119

AWS Big Data

FEBRUARY 21, 2025

Search applications include ecommerce websites, document repository search, customer support call centers, customer relationship management, matchmaking for gaming, and application search. Before FMs, search engines used a word-frequency scoring system called term frequency/inverse document frequency (TF/IDF).

Dashboards 85

Dashboards Modeling Measurement Interactive 85

CIO Business Intelligence

JANUARY 30, 2025

AI Governance should absolutely be part of your AI strategy from the beginning and not an afterthought. You need to perform testing of the new model and ensure that you are setting aside enough time for testing and evaluation. If we look at the documentation and pick a model as an example, we can see that, for instance, GPT3.5

Testing 93

Testing Metrics Cost-Benefit Modeling 93

CIO Business Intelligence

MARCH 25, 2025

What CIOs can do: To make transitions to new AI capabilities less costly, invest in regression testing and change management practices around AI-enabled large-scale workflows.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

CIO Business Intelligence

JUNE 20, 2022

This landmark document will look at how we can build on this momentum and apply the lessons challenges ahead of us, including tackling the COVID backlog and making the reforms that are vital to the future of health and care. The strategy also introduced so-called trusted research environments (TRE).

Data Strategy 105

Data Strategy Strategy Digital Transformation Data Architecture 105

AWS Big Data

OCTOBER 30, 2024

Collaborating closely with our partners, we have tested and validated Amazon DataZone authentication via the Athena JDBC connection, providing an intuitive and secure connection experience for users. Get started with our technical documentation. Yogesh Dhimate is a Sr.

Analytics 119

Analytics Visualization Data Governance Data-driven 119

datapine

AUGUST 12, 2020

Whether you manage a big or small company, business reports must be incorporated to establish goals, track operations, and strategy, to get an in-depth view of the overall company state. Your Chance: Want to test professional business reporting software? Your Chance: Want to test professional business reporting software?

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

CIO Business Intelligence

DECEMBER 11, 2024

The choice of vendors should align with the broader cloud or on-premises strategy. Similarly, there is a case for Snowflake, Cloudera or other platforms, depending on the companys overarching technology strategy. Now, mature organizations implement cybersecurity broadly using DevSecOps practices.

Management 111

Management Data Governance Data Science Reporting 111

IBM Big Data Hub

JANUARY 19, 2024

Disaster recovery strategies provide the framework for team members to get a business back up and running after an unplanned event. Worldwide, the popularity of disaster recovery strategies is understandably increasing. A disaster recovery strategy lays out how your businesses will respond to a number of unplanned incidents.

Strategy 89

Strategy Cost-Benefit Testing Risk 89

O'Reilly on Data

SEPTEMBER 19, 2023

A single document may represent thousands of features. You can see a simulation as a temporary, synthetic environment in which to test an idea. Millions of tests, across as many parameters as will fit on the hardware. Other groups have tested evolutionary algorithms in drug discovery. Specifically, through simulation.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

CIO Business Intelligence

FEBRUARY 26, 2025

But when an agent whose primary purpose is understanding company documents and tries to speak XML, it can make mistakes. If an agent needs to perform an action on an AWS instance, for example, youll actually pull in the data sources and API documentation you need, all based on the identity of the person asking for that action at runtime.

IT 141

IT Enterprise Interactive Data Quality 141

FineReport

DECEMBER 9, 2021

Business intelligence strategy is seen as a roadmap designed to help companies measure their performance and strengthen their performance through architecture and solutions. Therefore, creating a successful BI strategy roadmap would have a great positive impact on organization efficiency. How to develop a smart BI strategy?

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

CIO Business Intelligence

MARCH 4, 2025

In fact, successful recovery from cyberattacks and other disasters hinges on an approach that integrates business impact assessments (BIA), business continuity planning (BCP), and disaster recovery planning (DRP) including rigorous testing. Testing should involve key players responsible for response and recovery, not just the IT department.

Testing 64

Testing Risk Consulting Risk Management 64

CIO Business Intelligence

SEPTEMBER 10, 2024

The testing phase, particularly user acceptance testing (UAT), can become a labor-intensive bottleneck — and a budget breaker. According to a 2023 Capgemini report , companies spend about 35% of their IT budget on testing — a figure that has remained stubbornly high despite advancements in automation. Result: 80% less rework.

Software 124

Software Digital Transformation Testing Advertising 124

DataKitchen

JANUARY 18, 2023

Good testing, like exercise and veganism, is the subject of fervent talk and half-hearted action. There are lots of reasons good people test inadequately. Testing is intrinsic to the job. . By automating your tests, then running them with each refresh, you build in safety valves for your data pipeline. . Of course not.

Testing 130

Testing Data-driven Risk Strategy 130

IBM Big Data Hub

MAY 28, 2024

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy? Why it’s important for your security strategy Data powers much of the world economy—and unfortunately, cybercriminals know its value.

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

CIO Business Intelligence

SEPTEMBER 27, 2023

“Most recently, our product teams have been piloting and successfully deploying new capabilities with gen AI in areas of content localization, content production, assessment creation, and assessment strategies, as well as within our search and recommendation engines,” says Orla Daly, CIO.

Strategy 126

Strategy Data-driven Risk Technology 126

DataKitchen

FEBRUARY 22, 2024

This course teaches you ten innovative strategies to identify the perfect scapegoat for every occasion. This advanced seminar encourages the reckless push of untested code into Production with the safety net of a well-crafted blame strategy. Why bother with regression testing and impact checking when you can deploy and deflect?

Analytics 183

Analytics Data Governance Strategy Testing 183

CIO Business Intelligence

JUNE 12, 2024

“This does work and is in use today by a growing number of companies,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PwC. Most enterprise data is unstructured and semi-structured documents and code, as well as images and video. The synthetic data is then used to test the company’s software, he says. “We

Modeling 140

Modeling Testing Cost-Benefit Metadata 140

IBM Big Data Hub

APRIL 11, 2023

The evaluation team should assess and document each system, decision point, and vendor by the population they serve, such as hourly workers, salaried employees, different pay groups, and countries. Our organization is ready to assist companies in becoming data-driven and addressing compliance. If you need any help, feel free to contact us.

Strategy 87

Strategy Data Architecture Data-driven Testing 87

datapine

JANUARY 24, 2021

It is not just important to gather all the existing information, but to consider the preparation of data and utilize it in the proper way, has become an indispensable value in developing a successful business strategy. For example, you need to develop a sales strategy and increase revenue. Today, big data is about business disruption.

IT 317

IT Statistics KPI Data-driven 317

CIO Business Intelligence

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. says CIOs should apply agile processes to their gen AI strategy. It’s not a hammer.

Strategy 98

Strategy Risk Enterprise Risk Management 98

datapine

APRIL 16, 2019

Download the list of the 11 essential steps to implement your BI strategy! Data driven decision making (DDDM) is a process that involves collecting data based on measurable goals or KPIs, analyzing patterns and facts from these insights, and utilizing them to develop strategies and activities that benefit the business in a number of areas.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Rocket-Powered Data Science

SEPTEMBER 20, 2021

We would be able to go far beyond searching for correctly spelled column headings in databases or specific keywords in data documentation, to find the data we needed (assuming we even knew the correct labels, metatags, and keywords used by the dataset creators). That’s data democratization. That’s insights democratization.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

Smart Data Collective

SEPTEMBER 17, 2020

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. Some prominent banking institutions have gone the extra mile and introduced software to analyze every document while recording any crucial information that these documents may carry.

Big Data 145

Big Data Finance Risk Management Risk 145