IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 49

B2B Interactive Optimization Forecasting 49

CIO Business Intelligence

OCTOBER 3, 2023

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. It requires careful analysis of all processes, and in many cases changes to how individual process operate and interact.

Cost-Benefit 121

Cost-Benefit Machine Learning Interactive Software 121

Smart Data Collective

OCTOBER 13, 2021

Automating processes can be costly, but it’s a worthy long-term investment that helps businesses align their strategies for streamlined operations. Take advantage of data analytics. One of the biggest reasons AI has become so valuable is that it is so tightly integrated with data analytics. Consider improving user experience.

Technology 122

Technology Cost-Benefit Experimentation Machine Learning 122

CIO Business Intelligence

APRIL 11, 2022

From front office to back office, the CIO needs to operationalize strategy and be a change agent , driving new skills and talent into the business. The key to success, Scheefer believes, is to become the C-suite’s vehicle for driving business strategy and transformation at pace and scale. Position yourself as a change agent.

Cost-Benefit 119

Cost-Benefit Digital Transformation Strategy Consulting 119

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

JUNE 8, 2023

There’s a strong need for workers with expertise in helping companies make sense of data, launch cloud strategies, build applications, and improve the overall user experience. This demand has driven up salaries for IT roles, especially those around development, engineering, and support.

IT 139

IT Digital Transformation Software Risk 139

IBM Big Data Hub

JUNE 23, 2023

Whether you’re a CFO, an accountant, a financial analyst or a business partner, artificial intelligence (AI) can help improve your finance strategy, uplift productivity and accelerate business outcomes. Our experts at IBM Consulting are taking a comprehensive look at generative AI for F&A and considering the need to balance risks.

Finance 63

Finance Consulting Data-driven Risk 63

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. The answers to these foundational questions help you uncover opportunities and detect risks. RED answers key questions such as: “What happened?”, “Who was involved?”,

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

JANUARY 31, 2024

Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies. million eligible contracts, OPRA plays a pivotal role in providing comprehensive market data.

Marketing 82

Marketing Analytics Visualization Strategy 82

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. Download your free copy of How to Build a Model Driven Business.

Modeling 64

Modeling IT Risk Management Deep Learning 64

erwin

JUNE 14, 2019

The following three examples highlight the extent to which digital transformation is reshaping the nature of business and government and how we – as a society – interact with the world. The inherently competitive nature of retail has made the sector a leader in adopting data-driven strategy. Data can tell you.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

IBM Big Data Hub

SEPTEMBER 20, 2022

It’s how top organizations improve customer interactions and accelerate time-to-market for goods and services. Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. The possibilities are endless!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

AWS Big Data

APRIL 12, 2023

As the Security Awareness department in particular began developing product strategies to deliver data-driven insights to customers, we were clear on using existing analytics services to rapidly build customer-facing analytics solutions. million end-users to bring cybersecurity training to each employee within an organization.

Dashboards 60

Dashboards Risk Data-driven Visualization 60

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

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. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

MAY 18, 2022

That requires enterprise architects to work more closely with risk management and security staff to understand dependencies among the components in the architecture to better understand the likelihood and severity of disruptions and formulate plans to cope with them. Tracking data and APIs.

Enterprise 120

Enterprise Measurement Data-driven Software 120

AWS Big Data

AUGUST 14, 2023

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.

Management 76

Management Risk Measurement Optimization 76

Cloudera

AUGUST 25, 2020

Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon.

Prescriptive Analytics 71

Prescriptive Analytics Technology Machine Learning Risk 71

Ontotext

MAY 5, 2023

It involves specifying individual components, such as objects and their attributes, as well as rules and restrictions governing their interactions. Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?) and product (What?).

Data Collection 64

Data Collection Risk Data-driven Interactive 64

IBM Big Data Hub

JULY 31, 2023

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand. Couldn’t execs have run better analyses to spot risks within the data?

Digital Transformation 56

Digital Transformation Uncertainty Risk Data Warehouse 56

Grooper

OCTOBER 23, 2019

With the increasing value of data and more tools to process and analyze information than ever before, companies with information governance and master data model programs are outpacing their peers. Simply storing information without a detailed road map for how the data can and should be used is not enough. Data is an asset.

Metrics 59

Metrics Measurement Strategy Optimization 59

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Do you recommend a consulting approach strategy rather than a CDO strategy?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 101

Data-driven Digital Transformation Risk Risk Management 101

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. She’s the president of European Chamber of Digital Commerce, where she enables companies to develop successful digital strategies in order to shape the digital future.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

CIO Business Intelligence

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

Strategy 94

Strategy Data-driven Interactive Digital Transformation 94

Smart Data Collective

AUGUST 30, 2023

“Consultancies are rapidly realizing it’s time to ditch the spreadsheets and start integrating key project and resource management workflows in a Professional Services Automation (PSA) system,” said Jon Stead, Chief Strategy Officer, CMap. They empower organizations to make data-driven, educated decisions.

Software 93

Software Technology Consulting Forecasting 93

erwin

FEBRUARY 20, 2020

Recently, Glassdoor named enterprise architecture the top tech job in the UK , indicating its increasing importance to the enterprise in the tech and data-driven world. erwin helps model, manage and transform mission-critical value streams across industries, as well as identify sensitive information.

Enterprise 128

Enterprise Modeling Dashboards Digital Transformation 128

DataRobot

SEPTEMBER 16, 2021

Over time, the limitations of GLM have driven pricing actuaries to research new, more advanced tools. In certain instances, a pricing actuary may want to leverage industry indications for some features and model on other features using proprietary data. Interactions + customer-controlled interactions. Conclusion.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Data Lifecycle Connection.

Data Lake 76

Data Lake Cost-Benefit Digital Transformation Risk 76

DataRobot Blog

DECEMBER 20, 2022

One might imagine that the increase in available data would lead to greater transparency and more efficient markets, but the opposite seems to be the case as increased access to massive amounts of data has made assessing real estate assets much more complex. Real Estate Data Intelligence. More is not always better.

Management 59

Management Machine Learning Optimization Modeling 59

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 2) BI Strategy Benefits. 4) How To Create A Business Intelligence Strategy. Over the past 5 years, big data and BI became more than just data science buzzwords. In response to this increasing need for data analytics, business intelligence software has flooded the market.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

APRIL 15, 2024

The senior vice president and chief information and strategy officer at National Life Group, has spent years executing a technology roadmap to modernize the insurance company. Case in point: Mehta, who now has the responsibility of developing National Life’s three-year enterprise strategy.

Digital Transformation 130

Digital Transformation Strategy Technology Enterprise 130

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. trillion in 2020 to $5.16

Enterprise 143

Enterprise Technology Consulting Software 143

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

APRIL 5, 2021

Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. Risk management. As a result, companies must be agile—poised to make quick, strategic decisions based on the latest incoming data—if they hope to succeed. Prioritizing projects. M&A Model.

Modeling 98

Modeling Forecasting Metrics Finance 98