CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 137

Risk Consulting Machine Learning Data Science 137

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

Strategy 73

Strategy Business Objectives Cost-Benefit Consulting 73

IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

Insurance 69

Insurance Risk Testing Data Quality 69

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management.

Data Strategy 79

Data Strategy Strategy IT Contextual Data 79

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 118

Strategy Risk Data-driven Modeling 118

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

IBM Big Data Hub

NOVEMBER 14, 2023

A value exchange system built on data products can drive business growth for your organization and gain competitive advantage. This growth could be internal cost effectiveness, stronger risk compliance, increasing the economic value of a partner ecosystem, or through new revenue streams.

Strategy 106

Strategy Cost-Benefit Data-driven Measurement 106

Smart Data Collective

MARCH 13, 2020

It doesn’t matter what the project or desired outcome is, better data science workflows produce superior results. 5 Tips for Better Data Science Workflows. Data science is a complex field that requires experience, skill, patience, and systematic decision-making in order to be successful. Adding it All Up.

Data Science 101

Data Science Key Performance Indicator Knowledge Discovery Visualization 101

Rocket-Powered Data Science

JULY 14, 2023

As I progressed in my career into management roles for enterprise data systems, I gained a deeper understanding and appreciation of the synergies and interdependencies between system and user requirements. Analytics products represent the user-facing and client-facing derived value from an organization’s data stores.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. An enterprise starts by using a framework to formalize its processes and procedures, which gets increasingly difficult as data science programs grow. What Is Model Risk? Types of Model Risk.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 125

IT Risk Cost-Benefit Risk Management 125

CIO Business Intelligence

MAY 11, 2023

In a conversation with CIO.com, Games 24×7 CTO Rajat Bansal throws light on the importance of hyperpersonalization in gaming and how the company is manifesting creative ideas for gamers by leveraging cutting-edge technology, including data science and AI. There are safety risks associated with gaming.

Data Science 67

Data Science Recreation/Entertainment Forecasting Data-driven 67

Smart Data Collective

AUGUST 21, 2019

They recognize that the overemphasis on big data has created problems, so they have presented alternatives. Data Science Companies Focus on Optimal Data Utilization Rather than Just Emphasizing Data Scalability. Endor is a leading pioneer in data science. This can lead to a number of problems.

Data Science 67

Data Science Big Data Data Strategy Risk 67

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. Business strategy. Data engineering. The fourth challenge was around using the data.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Rocket-Powered Data Science

JULY 19, 2023

These three emergent analytics products are: (a) Sentinel Analytics – focused on monitoring (“keeping an eye on”) multiple enterprise systems and business processes, as part of an observability strategy for time-critical business insights discovery and value creation from enterprise data sources. These may not be high risk.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 137

Digital Transformation Unstructured Data Machine Learning Risk Management 137

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. Companies want candidates who can drive innovation, deliver meaningful business results, and work closely with other leaders to manage risks.

Risk Management 130

Risk Management Risk Cost-Benefit Technology 130

Cloudera

APRIL 23, 2024

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

Machine Learning 88

Machine Learning Data Science Data-driven Data Processing 88

Jet Global

SEPTEMBER 1, 2023

But we’re also seeing its use expand in other industries, like Financial Services applications for credit risk assessment or Human Resources applications to identify employee trends. Analysts can use predictive analytics to foresee if a change will help them reduce risks, improve operations, and/or increase revenue.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. What is a Data Governance Strategy?

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Alation

JULY 28, 2021

As data science processes continue to become operationalized and embedded within business processes, the importance of governing those processes continues to rise. While governance has been a major focus for many years when it comes to managing data, governance focused on data science processes is still far less mature.

Data Science 52

Data Science Data Governance Modeling Software 52

DataRobot Blog

SEPTEMBER 28, 2022

A new economic validation report shows the DataRobot AI Cloud platform can transform data science initiatives with a 3.5x In today’s rapidly changing economy, organizations need to see quick time to value from data science experiments and production models. return on investment. ESG Analyst Report. Download Now.

ROI 52

ROI Strategy Enterprise Cost-Benefit 52

Domino Data Lab

JULY 9, 2019

Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins also indicated that data science, data engineering, and data analysis are different groups at The New York Times. Data science. Session Summary.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red.

Risk 52

Risk Management Scorecard Forecasting 52

Domino Data Lab

JANUARY 24, 2019

In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Over the last couple years, it would be hard to blame anyone for being overwhelmed looking at the data science platform market landscape. Proprietary (often GUI-driven) data science platforms.

Data Science 65

Data Science Marketing Data-driven Statistics 65

CIO Business Intelligence

MARCH 14, 2024

The UK government could improve productivity through widespread and systematized uptake of generative AI, but only if it takes steps to build its expertise and come up with an adoption strategy, a new study has found. Safety standards There is an element of caution to government departments’ approach.

Testing 97

Testing Risk Digital Transformation Statistics 97

Domino Data Lab

JUNE 10, 2020

Today, we announced the latest release of Domino’s data science platform which represents a big step forward for enterprise data science teams. Domino’s best-in-class Workbench is now even more powerful for data scientists.

Data Science 82

Data Science Enterprise Experimentation Modeling 82

Decision Management Solutions

MARCH 25, 2019

Nancy Casbarro and Deb Zawisa of Novarico recently published a new paper on Data Science in Insurance: Expansion and Key Issues subscription required) that was summarized in this nice little article on Dig-in 3 challenges facing insurers in data science implementation.

Insurance 75

Insurance Data Science Testing Modeling 75

Domino Data Lab

JUNE 27, 2023

Generative AI is moving swiftly from intriguing novelty to top priority for your digital transformation strategy. But what do the top data science leaders and practitioners from the world’s most advanced AI companies really think? It is hijacking conversations everywhere, from the boardroom to the dining room.

Digital Transformation 83

Digital Transformation Data Science Risk Strategy 83

bridgei2i

NOVEMBER 20, 2020

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

Risk Management 92

Risk Management Risk Management Metrics 92

Rocket-Powered Data Science

OCTOBER 6, 2023

Which pricing strategies lead to the best business revenue? In these applications, the data science involvement includes both the “learning” of the most significant patterns to alert on and the improvement of their models (logic) to minimize false positives and false negatives. ” “Just 26.5%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

AUGUST 29, 2022

Best for : the new intern who has no idea what data science even means. An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

MAY 7, 2024

Data is the cement that paves the AI value road. Big Data” is a critical area that runs the risk of being miscategorized as being either irrelevant — a thing of the past or lacking a worth-the-trouble upside. CIOs and digital executives need to ensure that Big Data is getting the attention it deserves.

Big Data 120

Big Data Statistics Machine Learning Data Science 120

bridgei2i

OCTOBER 7, 2020

Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. Assessing risk is a manual process and takes a lot of time. Sometimes due to excessive volume of data, an underwriter can get confused and is unable to measure risk appropriately. The insurance industry—which, in the US alone, stands at $1.2

Insurance 52

Insurance Sales Strategy Digital Transformation 52

O'Reilly on Data

JANUARY 17, 2019

The O’Reilly Data Show Podcast: Andrew Burt on the need to modernize data protection tools and strategies. In this episode of the Data Show , I spoke with Andrew Burt , chief privacy officer and legal engineer at Immuta , a company building data management tools tuned for data science.

Machine Learning 203

Machine Learning Big Data Data Science Risk 203

CIO Business Intelligence

OCTOBER 24, 2023

Alternatively, they can accelerate transformation by prioritizing force-multiplying initiatives such as aligning data science and data governance programs or improving IT operations with AIops capabilities. AI is a fundamentally different set of technologies that requires a separate strategy and capabilities.”

Digital Transformation 141

Digital Transformation Data-driven Business Objectives Strategy 141