Cloudera

AUGUST 25, 2020

In part II of the series, we sat down for an interview with Dr. Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. Machine Learning and AI provide powerful predictive engines that rely on historical data to fit the models.

Prescriptive Analytics 74

Prescriptive Analytics Technology Machine Learning Risk 74

IBM Big Data Hub

MAY 8, 2024

At IBM Cloud, we are committed to helping enterprises across industries leverage hybrid cloud and AI technologies to help them drive innovation. For those in even the most highly regulated industries, we have seen these challenges continue to grow as they navigate changing regulations.

Enterprise 61

Enterprise Interactive Consulting Testing 61

IBM Big Data Hub

APRIL 18, 2023

Across industries, the exponential growth of technologies such as hybrid cloud, data and analytics, AI and IoT have reshaped the way businesses operate and heightened customer expectations. Businesses are now entering an even greater digital era marked by broader applications of AI, including generative AI models.

Technology 69

Technology Consulting IoT Digital Transformation 69

IBM Big Data Hub

FEBRUARY 23, 2024

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges. billion by 2030.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. In Growing Up with AI , we help you keep up with all the ways these pioneering technologies are changing the world. We hear a lot about AI and analytics not only in internal conversations, but also from our customers and prospects.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

IBM Big Data Hub

DECEMBER 20, 2023

Examples of industries that have switched from monolithic architecture to microservices include subscription-based streaming services like Netflix, which uses microservices to track user activities, their history and other data to make real-time recommendations for enhanced engagement and better customer experiences.

Strategy 93

Strategy Cost-Benefit Digital Transformation Optimization 93

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. With repetition, the agent learns the best strategies.

Machine Learning 73

Machine Learning Modeling Deep Learning Predictive Modeling 73

BizAcuity

APRIL 28, 2019

And to add to it, the credit industry is facing several uphill challenges, with the revenue per transaction slowly decreasing. All of this has led to the establishment of several bodies and regulations focused on collection methodologies such as the Consumer Financial Protection Board and the Fair Debt Collection Practices Act (FDCPA).

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

IBM Big Data Hub

SEPTEMBER 28, 2023

According to a recent IBV study , 64% of surveyed CEOs face pressure to accelerate adoption of generative AI, and 60% lack a consistent, enterprise-wide method for implementing it. These enhancements have been guided by IBM’s fundamental strategic considerations that AI should be open, trusted, targeted and empowering.

Testing 87

Testing Finance Enterprise Modeling 87

bridgei2i

SEPTEMBER 24, 2020

From supply chain optimization to automating recurring tasks, using chatbots and personalizing suggestions for improved customer service, and making the most of business intelligence for better decision making, AI is the go-to choice for most businesses, irrespective of the industry. AI for risk. Risk Management Model.

Risk Management 52

Risk Management Risk Enterprise Management 52

IBM Big Data Hub

MAY 26, 2023

According to a report on mapping the cloud maturity curve from the EIU , 48% of industry executives said cloud has improved data access, analysis and utilization, 45% say cloud has sped up delivery of new IT services and capabilities, and 44% say cloud has expanded sales channels across digital avenues.

Consulting 73

Consulting Cost-Benefit Machine Learning Optimization 73

IBM Big Data Hub

JANUARY 17, 2024

Broadly, chatbots provide pre-written responses and information to handle basic requests or to get enough information from customers to connect them to a live agent for better and more specific service. There are two types of chatbots, rule-based and AI-powered.

Interactive 60

Interactive Machine Learning Sales Marketing 60

IBM Big Data Hub

MARCH 19, 2024

However, many components of these tasks can now be automated or augmented by AI , allowing hiring managers to focus on providing smarter, higher-level engagement with candidates. Optimizing the process with AI tools can help recruiting teams zero in on right candidates, an essential capability in increasingly competitive employment markets.

Predictive Analytics 65

Predictive Analytics Strategy Risk Testing 65

IBM Big Data Hub

AUGUST 15, 2023

Artificial intelligence (AI) adoption is here. Organizations are no longer asking whether to add AI capabilities, but how they plan to use this quickly emerging technology. While 42% of companies say they are exploring AI technology, the failure rate is high; on average, 54% of AI projects make it from pilot to production.

IT 74

IT Data Governance Modeling Cost-Benefit 74

IBM Big Data Hub

JUNE 21, 2022

A data fabric orchestrates various data sources across a hybrid and multicloud landscape to provide business-ready data in support of analytics, AI and other applications. How IBM built its own data fabric . Because of advances in cloud computing and AI, it was clear that data could play a much bigger role beyond being a necessary output.

Data Strategy 52

Data Strategy Strategy Data-driven Enterprise 52

Laminar Security

DECEMBER 11, 2023

Case study: how Laminar Security employed DDR for detecting data leakage from insider threats In the fast-paced FinTech industry, data security is a linchpin of customer trust and business integrity. Discover the latest information and insights from Laminar experts on our data security blog. How does DDR work?

Behavioral Analytics 55

Behavioral Analytics Machine Learning Risk Cost-Benefit 55

IBM Big Data Hub

AUGUST 3, 2023

Using techniques that include artificial intelligence (AI) , machine learning (ML) , natural language processing (NLP) and network analytics, it generates a master inventory of sensitive data down to the PII or data-element level. Utilize agent and agentless connections to data sources that help reduce the workload on infrastructure teams.

Cost-Benefit 57

Cost-Benefit Risk Reporting Enterprise 57

IBM Big Data Hub

APRIL 4, 2024

A purchasing agreement between a client and vendor, for example, needs to evolve and go through different rounds of approval and be organized, accessible and compliant with regulations. Traditional AI and generative AI-enabled Process Excellence practice uses the leading process mining tools across the IBM ecosystem and partners.

Management 54

Management Cost-Benefit Metrics Consulting 54

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Cloudera

JUNE 4, 2024

It’s not a surprise that in today’s challenging economic landscape, rising costs pose a significant threat to the telecommunications industry. With the strategic use of open-source solutions and generative AI, the industry can not only implement cost-effective approaches but also pave the way for enhanced efficiency and scalability.

Digital Transformation 73

Digital Transformation B2B Interactive Optimization 73

IBM Big Data Hub

JUNE 23, 2023

How is the insurance industry addressing these challenges ? There are many considerations leading to this strategy—all equally applicable to other industries as well. Ecosystem connectivity: The use of cloud enables industry-specific platforms that connect to new value nets of partners, customers and other external players.

Insurance 56

Insurance Cost-Benefit Digital Transformation Marketing 56

IBM Big Data Hub

FEBRUARY 9, 2024

2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world. 2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world.

Cost-Benefit 94

Cost-Benefit Modeling Data-driven Enterprise 94

IBM Big Data Hub

MAY 14, 2024

Companies across industries are realizing the need to integrate artificial intelligence (AI) into their core strategies from the top to avoid falling behind. These AI leaders are responsible for developing a blueprint for AI adoption and oversight both in companies and the federal government.

Risk 83

Risk Risk Management Measurement Strategy 83

Cloudera

DECEMBER 16, 2024

In the last year, weve seen the explosion of AI in the enterprise, leaving organizations to consider the infrastructure and processes for AI to successfullyand securelydeploy across an organization. Here, Cloudera experts share their insights on what to expect in data and AI for the enterprise in 2025.

Enterprise 84

Enterprise Data-driven Modeling Finance 84

CIO Business Intelligence

MAY 1, 2025

Salesforce AI Research today unveiled new benchmarks, guardrails, and models aimed at enhancing the agentic AI in the enterprise. An agent is not just an LLM, Savarese said in a roundtable discussion on Tuesday. An agent is actually a complex system with four components: a memory, a brain, an actuator, and an interface.

Enterprise 82

Enterprise Modeling Contextual Data Testing 82

O'Reilly on Data

APRIL 15, 2025

Most AI teams focus on the wrong things. Heres a common scene from my consulting work: AI TEAM Heres our agent architectureweve got RAG here, a router there, and were using this new framework for ME [Holding up my hand to pause the enthusiastic tech lead] Can you show me how youre measuring if any of this actually works?

Testing 328

Testing Experimentation Metrics Measurement 328