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. And they must develop and upskill talent to ensure the workforce is well-versed in the innovation and risk associated with AI use.

Risk Management 133

Risk Management Risk Cost-Benefit Technology 133

CIO Business Intelligence

MAY 13, 2024

IBM is betting big on its toolkit for monitoring generative AI and machine learning models, dubbed watsonx.governance , to take on rivals and position the offering as a top AI governance product, according to a senior executive at IBM. watsonx.governance is a toolkit for governing generative AI and machine learning models.

Risk 108

Risk Machine Learning Modeling Enterprise 108

Cloudera

MARCH 25, 2021

Risk management can be optimized by the improved use of data and analytics to run models, account for more variables and scrutinize probable outcomes. Machine learning is proven to help in the fight against fraud. To learn more about Cloudera’s approach to data governance, visit SDX-Shared Data Experience.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

Cloudera

APRIL 18, 2024

In the financial sector, regulations are essential for financial institutions to maintain stability by preventing excessive risk-taking, ensuring adequate capitalization and reducing the likelihood of failures or financial crises.

Risk Management 76

Risk Management Risk Testing Management 76

DataRobot Blog

APRIL 29, 2022

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. However, after the financial crisis, financial regulators around the world stepped up to the challenge of reigning in model risk across the financial industry.

Risk 111

Risk Modeling IT Risk Management 111

CIO Business Intelligence

SEPTEMBER 14, 2023

The company’s pivot to new tech development and SaaS began in 2021 and is keenly focused on the cloud, machine learning, and AI, as well as blockchain for tracking digital assets. When you have to calculate risk, it works really well to spread it horizontally in the cloud,” Peterson says.

Risk Management 109

Risk Management Risk Marketing Cost-Benefit 109

CIO Business Intelligence

NOVEMBER 3, 2023

One major benefit of AI in supply chain management is that, in the source-to-pay process, companies can gather immediate intuitive intelligence. AI helps to turn past activities and successes into actionable strategies for future projects at a stroke. Learn more here. Artificial Intelligence, Machine Learning

Digital Transformation 125

Digital Transformation Risk Management Risk Machine Learning 125

CIO Business Intelligence

OCTOBER 13, 2023

Here are the top 11 roles companies are currently hiring for, or have plans to hire for, to directly address their emerging gen AI strategies. This role is responsible for training, developing, deploying, scheduling, monitoring, and improving scalable machine learning solutions in the enterprise.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

IBM Big Data Hub

APRIL 19, 2024

Mobile-connected technicians experience improved safety through measures such as access control, gas detection, warning messages or fall recognition, which reduces risk exposure and enhances operational risk management (ORM) during work execution. Risk-based asset strategies align maintenance efforts to balance costs and risks.

Management 85

Management Internet of Things Risk IoT 85

Smart Data Collective

JUNE 19, 2022

Because the internet reveals more about supplier relationships and social media provides consumers with louder voices , businesses need to be especially careful about the brand reputation risks they face in their supply chains. How can AI help with brand reputation management? Quality Risk.

Risk 134

Risk Cost-Benefit Risk Management Manufacturing 134

O'Reilly on Data

JULY 15, 2019

A look at how guidelines from regulated industries can help shape your ML strategy. As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Sources of model risk.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

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. Big data also helps you identify potential business risks and offers effective risk management solutions. Use machine learning.

Technology 122

Technology Cost-Benefit Experimentation Machine Learning 122

IBM Big Data Hub

JANUARY 30, 2024

Finance: Optimized for high-speed transactions and can assist in providing robust security, harnessing AI for fraud detection and real-time risk management. Retail: Manage e-commerce platforms, customer data analytics and supply chain logistics, where data analysis often must occur at the edge.

Manufacturing 71

Manufacturing Business Objectives Optimization Risk Management 71

Cloudera

JULY 29, 2022

All successful organizations have business strategies in place that help them achieve their objectives. These strategies are usually long-term and include plans and actions on how to reach their goals. . Some even have too much data, so much so that the insights are obscured by the sheer volume and speed of the data coming in.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

CIO Business Intelligence

MARCH 19, 2024

AI risks as perceived by the CEO CEOs who don’t want to quickly become former CEOs expend quite a lot of their time and attention on some form of “ TOWS ” analysis (threats, opportunities, weaknesses, and strengths). There’s no reason to expect a machine-learning AI to be immune from this fallacy. Quite the opposite.

Risk 109

Risk Machine Learning Risk Management Measurement 109

CIO Business Intelligence

OCTOBER 3, 2023

However since then great strides have been made in machine learning and artificial intelligence. Mordor Intelligence sees the increasing incorporation of machine learning tools into hyperautomation products as being one of the main drivers of market growth. Having clear goals will guide your approach and strategy.

Cost-Benefit 108

Cost-Benefit Machine Learning Interactive Software 108

DataRobot Blog

JUNE 1, 2022

Whether you’re just learning about the power of AI or already in production and planning your long-term AI strategy, DataRobot AIX has something for everyone. Learn how to empower every individual to ask better questions about data, combining human intelligence and artificial intelligence for transformative business outcomes.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

CIO Business Intelligence

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.

Enterprise 121

Enterprise Cost-Benefit Digital Transformation Strategy 121

Smart Data Collective

AUGUST 1, 2022

Some use machine learning technology to create models that more accurately predict price movements. There are many requirements to be a successful algorithmic trader and the most critical one is knowledge of both the AI technology behind it and the strategies that help it work effectively.

Cost-Benefit 109

Cost-Benefit Machine Learning Marketing Strategy 109

Domino Data Lab

AUGUST 10, 2021

At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. This change makes models the new currency of competitive advantage, strategy, and growth. This comes down to model risk management. Models can build on each other.

Modeling 64

Modeling IT Risk Management Deep Learning 64

CIO Business Intelligence

APRIL 11, 2022

Major IT trends, including security and privacy protection, cloud computing, machine learning, and remote workforces, as well as complying with an avalanche of regulatory mandates, have elevated the CIO post to a level of importance equal to, or even exceeding, that of fellow C-level executives. Sharpen your strategy.

Cost-Benefit 116

Cost-Benefit Digital Transformation Strategy Consulting 116

Smart Data Collective

APRIL 21, 2022

What are application consulting services and can they help with your AI strategy? Due to the growing importance of AI , many companies are using application that can utilize sophisticated machine learning algorithms. Application development consulting services are a newer service.

Consulting 96

Consulting Cost-Benefit Software Machine Learning 96

IBM Big Data Hub

FEBRUARY 13, 2024

Like diligent students, these generative models soak up information and identify patterns, structures and relationships between data points, which is how they learn the grammar of poetry, artistic brushstrokes and musical melodies. Invest in data hygiene and collection strategies to keep your engine running smoothly.

Enterprise 119

Enterprise Modeling Testing Data-driven 119

FineReport

APRIL 9, 2024

Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels. The implementation empowered the organization with predictive modeling capabilities, enabling proactive risk mitigation and personalized customer engagement strategies.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

SEPTEMBER 2, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. You’ll be required to write code, troubleshoot systems, fix bugs, and assist with the development of microservices.

Finance 98

Finance IT Software Reporting 98

Cloudera

NOVEMBER 25, 2021

Access to the same analytics and machine learning services in private cloud and AWS , enabling the movement of workloads and applications without refactoring. Grow: flexibility and control allowing customers to manage costs and auto-scale and suspend or resume execution. The Power of Two. About the author: .

Machine Learning 90

Machine Learning IoT Risk ROI 90

Cloudera

SEPTEMBER 7, 2023

proprietary data, business strategies, methodologies, etc. Just like the open-source system, database, and machine learning (ML) technologies of the past, AI models are narrowing the gap with proprietary alternatives at an incredibly rapid pace. AI-ify risk management. Practice real-time risk management.

Insurance 83

Insurance Risk Data-driven Finance 83

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 74

Prescriptive Analytics Technology Machine Learning Risk 74

DataRobot Blog

JULY 21, 2022

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Smart Data Collective

MAY 8, 2022

By doing this, businesses can form their finance & marketing strategies with the new information they have gathered. Above all, there needs to be a set methodology for data mining, collection, and structure within the organization before data is run through a deep learning algorithm or machine learning. Innovations.

Big Data 106

Big Data Data Analytics Analytics Cost-Benefit 106

CIO Business Intelligence

SEPTEMBER 23, 2022

So, what should our security risk management strategies consider? What’s often missing is a comprehensive approach to risk management and a strategy that considers more than just data. Challenges of Security Risk Management. A Better Strategy to Manage Security Risks.

Risk Management 71

Risk Management Risk Strategy Management 71

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. Risk management and controls are an imperative in F&A. Apply the controllership lens.

Finance 56

Finance Consulting Data-driven Risk 56

Smart Data Collective

FEBRUARY 28, 2023

Machine learning technology has already had a huge impact on our lives in many ways. There are numerous ways that machine learning technology is changing the financial industry. However, machine learning can also help financial professionals as well. What is risk parity?

Machine Learning 85

Machine Learning Risk Cost-Benefit Marketing 85

IBM Big Data Hub

JULY 27, 2023

EAM systems can include functions like maintenance management, asset lifecycle management , inventory management and work order management, among others. Access to asset/system simulations can enable more proactive maintenance planning, improved decision-making and better risk management.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56

IBM Big Data Hub

MAY 17, 2024

By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts. Experience building strategies like these have been  used by online retailers for years.  The applications of AI in commerce are vast and varied.

B2B 64

B2B Interactive Optimization Forecasting 64