IBM Big Data Hub

SEPTEMBER 6, 2023

But generative AI solutions can provide new capabilities for customer-facing teams in marketing to provide even greater personalization at scale and improve employee skills and performance. The journey starts with sound data. If the training data is biased or incomplete, the models may generate inaccurate content.

Marketing 122

Marketing B2B Customer Experience Communications 122

IBM Big Data Hub

MARCH 29, 2024

Imagine a future where artificial intelligence (AI) seamlessly collaborates with existing supply chain solutions, redefining how organizations manage their assets. Challenge 1: Orchestrate relevant data The journey to generative AI begins with data management. Undoubtedly. But what if you could optimize even further?

Artificial Intelligence 92

Artificial Intelligence Analytics Data Privacy Privacy 92

IBM Big Data Hub

APRIL 15, 2024

Or we create a data lake, which quickly degenerates to a data swamp. The solution lies in generative AI Let’s explore some of the capabilities or use cases where we see the most traction: 1. Contextual data understanding Data systems often cause major problems in manufacturing firms.

Manufacturing 103

Manufacturing Cloud IoT Analytics 103

IBM Big Data Hub

NOVEMBER 15, 2023

Watsonx is comprised of three components that empower businesses to customize their AI solutions: watsonx.ai Watsonx gives organizations the ability to refine foundation models with their own domain-specific data to gain competitive advantage and ensure factual grounding to external sources of knowledge.

Sales 93

Sales Libraries Marketing Cloud 93

IBM Big Data Hub

MARCH 4, 2024

Figure 2: ROI potential by transforming into an AI+ enterprise Organizations with high data maturity that embed an AI+ transformation model into the enterprise fabric and culture can generate up to 2.6 Consider the following: Do you need a public foundation model? Deliver a strong data foundation AI relies fundamentally on data.

Artificial Intelligence 107

Artificial Intelligence Cloud Government Risk 107

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. We stand on the frontier of an AI revolution.

Energy and Utilities 134

Energy and Utilities Libraries Cloud Access 134

Collibra

OCTOBER 25, 2023

If you strive to be data-driven and are leveraging AI technologies to gain a competitive edge, increase efficiency, and drive innovation, then you need to recognize, in addition to its potentially remarkable benefits, generative AI also presents significant risks. But how do we ensure that these models are making the right predictions?

Government 103

Government IT Data science Compliance 103

IBM Big Data Hub

APRIL 5, 2024

As an integrated solution across critical components of computing, network, storage and security, the platform aims to assist enterprises in addressing regulatory and efficiency demands. With data nearly everywhere, organizations often possess an existing repository acquired from running traditional HPC simulation and modeling workloads.

Artificial Intelligence 71

Artificial Intelligence Computer and Electronics Financial Services Manufacturing 71

IBM Big Data Hub

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. These issues require more than a technical, algorithmic or AI-based solution. How might this insight affect evaluation of AI models?

Artificial Intelligence 91

Artificial Intelligence Risk Government Communications 91

Thales Cloud Protection & Licensing

FEBRUARY 20, 2024

How to protect your machinelearning Models richard-r.stew… Tue, 02/20/2024 - 21:50 Dr. Werner Dondl and Michael Zunke In computer technology, few fields have garnered as much attention as artificial intelligence ( [KD1] [RJ2] AI) and machine learning (ML). Let’s look at where the vulnerabilities lie and how they can be addressed.

Encryption 62

Encryption Artificial Intelligence Risk Security 62

IBM Big Data Hub

NOVEMBER 6, 2023

As such, enterprises that serve SMBs must provide solutions that lessen administrative burdens and deliver tangible value. can analyze high-level customer trends and market forces — as well as specific customer data and historical transactions — to recommend products that meet each SMB’s particular needs.

Customer Experience 111

Customer Experience Sales Marketing Risk 111

OpenText Information Management

APRIL 15, 2024

Cloud data warehouses and data lakes offer a powerful way to perform analytics that includes scalability, cost-efficiency, performance, and accessibility. Cloud data warehouses simplify data management by providing maintenance, security, and compliance features, reducing the burden on IT teams.

Analytics 57

Analytics Cloud Compliance Access 57

Thales Cloud Protection & Licensing

FEBRUARY 14, 2024

How to Protect Your Machine Learning Models madhav Thu, 02/15/2024 - 07:20 Contributors: Dr. Werner Dondl and Michael Zunke Introduction In computer technology, few fields have garnered as much attention as artificial intelligence ( AI) and machine learning (ML). Let’s look at where the vulnerabilities lie and how they can be addressed.

Encryption 62

Encryption Artificial Intelligence Risk Security 62

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine training a generative AI model on a dataset of only romance novels.

Artificial Intelligence 126

Artificial Intelligence Marketing Sales Communications 126

IBM Big Data Hub

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. At IBM, we act as “client zero” for some of our own solutions.

Energy and Utilities 85

Energy and Utilities IoT Data collection Analytics 85

IBM Big Data Hub

SEPTEMBER 28, 2023

An AI and data platform, such as watsonx, can help empower businesses to leverage foundation models and accelerate the pace of generative AI adoption across their organization. Business-targeted, IBM-developed foundation models built from sound data Business leaders charged with adopting generative AI need model flexibility and choice.

Risk 94

Risk Insurance Data collection Libraries 94

Thales Cloud Protection & Licensing

FEBRUARY 20, 2024

How to protect your machinelearning Models richard-r.stew… Tue, 02/20/2024 - 21:50 Dr. Werner Dondl and Michael Zunke In computer technology, few fields have garnered as much attention as artificial intelligence ( [KD1] [RJ2] AI) and machine learning (ML). Let’s look at where the vulnerabilities lie and how they can be addressed.

Encryption 62

Encryption Artificial Intelligence Risk Security 62

IBM Big Data Hub

APRIL 8, 2024

The key foundation of a strong PLM strategy is healthy and orderly product data, but data management is where enterprises struggle the most. To take advantage of new technologies such as AI for product innovation, it is crucial that enterprises have well-organized and managed data assets.

Government 61

Government Sales Customer Experience Compliance 61

IBM Big Data Hub

DECEMBER 1, 2023

The benefits of ERP include built-in business intelligence and access to real-time data, along with integrated machine learning capabilities unlike a legacy system. While there are different types of enterprise resource planning systems, all solutions are built to help improve business functions and business operations.

Cloud 95

Cloud Energy and Utilities e-Delivery Risk 95

IBM Big Data Hub

SEPTEMBER 21, 2023

Generative AI and large language models are poised to impact how we all access and use information. They also showcased how watsonx could enhance the power of Samsung’s SDS Zero Touch Mobility solution. to streamline the handling of extensive data in support centers, simplifying complex tickets with large language models.

Cloud 115

Cloud Data Privacy Marketing Privacy 115

IBM Big Data Hub

NOVEMBER 29, 2023

With over 200 trains and a multitude of sensors, Downer has accumulated a vast amount of data. Fine-tuning data insights with enhanced collaboration and expertise Downer continuously works to enhance operational efficiency, minimizing maintenance costs and impacts to transportation schedules.

Data science 70

Data science Analytics Cloud IT 70

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. (

Government 102

Government Artificial Intelligence Metadata Data science 102

IBM Big Data Hub

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. Most experts categorize it as a powerful, but narrow AI model. How can organizations prepare for AGI?

Artificial Intelligence 89

Artificial Intelligence Marketing e-Delivery Manufacturing 89

IBM Big Data Hub

APRIL 20, 2023

Banks and their employees place trust in their risk models to help ensure the bank maintains liquidity even in the worst of times. This trust depends on an understanding of the data that inform risk models: where does it come from, where is it being used, and what are the ripple effects of a change?

Compliance 74

Compliance e-Discovery Risk Cloud 74

IBM Big Data Hub

AUGUST 22, 2023

It uses real-world data (both real time and historical) combined with engineering, simulation or machine learning (ML) models to enhance operations and support human decision-making. Traditional AI models versus foundation models These capabilities can help to continuously determine the state of the physical object.

Energy and Utilities 81

Energy and Utilities Unstructured data Artificial Intelligence IoT 81

IBM Big Data Hub

SEPTEMBER 11, 2023

We are in the midst of an AI revolution where organizations are seeking to leverage data for business transformation and harness generative AI and foundation models to boost productivity, innovate, enhance customer experiences, and gain a competitive edge.

Customer Experience 114

Customer Experience Cloud Data migration Digital transformation 114

IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. With IBM watsonx™ Assistant, companies can build large language models and train them using proprietary information, all while helping to ensure the security of their data.

Customer Experience 85

Customer Experience Analytics Marketing Sales 85

Reltio

DECEMBER 15, 2023

Organizations face roadblocks from data fragmentation, quality, and integration. Persistent data management challenges hinder the advancement toward integrating AI solutions. We aim to resolve complex data issues more effectively, enabling our customers to fully harness the power of the digital age.

Digital transformation 59

Digital transformation MDM Marketing Risk 59

IBM Big Data Hub

APRIL 19, 2024

Earlier posts in this series addressed the challenges of the energy transition with holistic grid asset management, the integrated asset management platform and data exchange, and merging traditional top-down and bottom-up planning processes. Risk-based asset strategies align maintenance efforts to balance costs and risks.

Energy and Utilities 82

Energy and Utilities Risk IoT Access 82

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

Libraries 72

Libraries Artificial Intelligence Education Access 72

IBM Big Data Hub

MARCH 21, 2024

High-performance computing systems Investing in high-performance computing systems tailored for AI accelerates model training and inference tasks. Accelerated data processing Efficient data processing pipelines are critical for AI workflows, especially those involving large datasets.

Energy and Utilities 69

Energy and Utilities Artificial Intelligence Cloud Communications 69

IBM Big Data Hub

FEBRUARY 23, 2024

This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. DL models can improve over time through further training and exposure to more data. DL enhances this process by enabling models to learn from vast amounts of data, mimicking how humans understand and generate language.

Analytics 106

Analytics Artificial Intelligence Marketing Education 106