IBM Journey to AI blog

NOVEMBER 14, 2023

Serve: Data products are discoverable and consumed as services, typically via a platform. When a “right to be forgotten” request is invoked it spans from the raw data source to the data product target. Data products come in many forms including datasets, programs and AI models.

ESG 315

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IBM Journey to AI blog

JUNE 26, 2023

The model has learned the rules behind the internal orders corresponding to general orders. The AI model helps the company realize a fully automatic execution process without manual operation, increasing the order classification accuracy rate from 85% to 97%. However, the first roadblock is its outdated way of data transmission.

Auto-classification 192

Auto-classification Automation Data Extraction AI 192

Unite.AI

JANUARY 29, 2025

Dr. Sood is interested in Artificial Intelligence (AI), cloud security, malware automation and analysis, application security, and secure software design. As AI technologies emerged, I saw their immense potential for transforming cybersecurityfrom automating threat detection to predictive analytics.

AI Strategy 130

AI Strategy Automation AI AI 130

Unite.AI

JUNE 17, 2024

Pascal Bornet is a pioneer in Intelligent Automation (IA) and the author of the best-seller book “ Intelligent Automation.” He is regularly ranked as one of the top 10 global experts in Artificial Intelligence and Automation. When did you first discover AI and realize how disruptive it would be?

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Automation Artificial Intelligence Artificial Intelligence Generative AI 147

Unite.AI

JANUARY 15, 2025

We also utilized IoT sensors and smart home devices to measure real-time property performance metrics, enriching our forecasting models to capture everything from supply-demand dynamics to macroeconomic trends and demographic tracking. Effective data integration is equally important.

Machine Learning 130

Machine Learning Natural Language Processing Algorithm NLP 130

NVIDIA

FEBRUARY 28, 2025

Accelerated AI-Powered Cybersecurity Modern cybersecurity relies heavily on AI for predictive analytics and automated threat mitigation. NVIDIA GPUs are essential for training and deploying AI models due to their exceptional computational power.

Algorithm 87

Algorithm Automation AI AI 87

Unite.AI

DECEMBER 6, 2024

When framed in the context of the Intelligent Economy RAG flows are enabling access to information in ways that facilitate the human experience, saving time by automating and filtering data and information output that would otherwise require significant manual effort and time to be created.

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AI AI Data Platform LLM 130

Unite.AI

SEPTEMBER 21, 2023

AI systems can process large amounts of data to learn patterns and relationships and make accurate and realistic predictions that improve over time. Organizations and practitioners build AI models that are specialized algorithms to perform real-world tasks such as image classification, object detection, and natural language processing.

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Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

IBM Journey to AI blog

DECEMBER 4, 2023

Generative AI could also help maintenance, repair and overhaul (MRO) technicians by enabling them to retrieve relevant information more effectively for repairs, or by automating the creation of parts and equipment orders so repair or maintenance can start as soon as a plane lands.

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Generative AI AI AI Automation 213

Ehud Reiter

JANUARY 22, 2025

For example we have had models that outperform average doctors on some types of diagnoses since the *1950s* ( blog ), but usage of AI models for decision making is very limited. As I say in my book : doctors will probably be receptive to We will use AI to automate paperwork so that you have more time for careful decision-making.

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IBM Journey to AI blog

JANUARY 17, 2023

Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises. Data governance. Data integration. Start a trial.

Data Science 146

Data Science Data Integration Automation Metadata 146

IBM Journey to AI blog

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. Here’s what’s involved in making that happen.

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Data Scientist Metadata Explainability Responsible AI 234

Unite.AI

MAY 23, 2024

With a solid data strategy in place, the next phase is data onboarding and initialization. Onboarding data into AI systems is a crucial step that requires careful planning and execution. The goal is to streamline data integration processes to enable AI models to learn effectively from the data.

Machine Learning 269

Machine Learning AI AI AI Engineer 269

IBM Journey to AI blog

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition.

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IBM Journey to AI blog

JANUARY 12, 2024

Jamworks for Education turns lectures into interactive, engaging and accessible study materials, such as a perfectly formatted set of notes, an interactive deck of flashcards and a personalized AI tutor trained on each class.

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AI AI Natural Language Processing Artificial Intelligence 284

IBM Journey to AI blog

MARCH 25, 2024

This blog and the IBM Institute for Business Value study The Revolutionary Content Supply Chain aim to answer these questions to help executives and their employees to better understand the changing landscape in content creation and embrace the power of generative AI models when it comes to optimizing their content supply chains.

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IBM Journey to AI blog

AUGUST 23, 2023

The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.

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Large Language Models Data Discovery LLM AI 167

Unite.AI

JUNE 12, 2024

While cinematic portrayals of AI often evoke fears of uncontrollable, malevolent machines, the reality in IT is more nuanced. Professionals are evaluating AI's impact on security , data integrity, and decision-making processes to determine if AI will be a friend or foe in achieving their organizational goals.

Data Quality 147

Data Quality Automation AI AI 147

O'Reilly Media

OCTOBER 11, 2022

There seems to be broad agreement that hyperautomation is the combination of Robotic Process Automation with AI. Natural language generation and natural language understanding are frequently mentioned, too, but they’re subsumed under AI. Using AI to discover tasks that can be automated also comes up frequently.

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Automation Data Integration Explainability AI 136

AWS Machine Learning Blog

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

Generative AI 72

Generative AI Responsible AI Automation LLM 72

Pickl AI

JANUARY 10, 2025

This way, you can track any actions that could compromise data integrity. Upon detecting unusual activity, the system alerts administrators and security personnel and integrates with Security Incident and Event Management (SIEM) and Security Orchestration, Automation, and Response (SOAR) solutions.

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Artificial Intelligence Artificial Intelligence Automation AI 52

Flipboard

NOVEMBER 15, 2024

Metadata can play a very important role in using data assets to make data driven decisions. Generating metadata for your data assets is often a time-consuming and manual task. Each table represents a single data store.

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Marktechpost

JUNE 16, 2024

This feature automates data layout optimization to enhance query performance and reduce storage costs. Key Features and Benefits: Automated Data Layout Optimization: Predictive Optimization leverages AI to analyze query patterns and determine the best optimizations for data layouts.

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AWS Machine Learning Blog

OCTOBER 2, 2024

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

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Topbots

OCTOBER 4, 2023

Predictive AI is used to predict future events or outcomes based on historical data. It does this by identifying patterns in historical data and then using those patterns to forecast future trends. Generative AI is a type of AI that can create new content, such as text, images, music, and code.

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IBM Journey to AI blog

JANUARY 26, 2024

This has changed the traditional on-site maintenance approach where personnel used to run to the data room to flip through the information; adopting the intelligent positioning of maintenance data through on-site scope helps promote transparency, standardize the maintenance management, and automate the maintenance method.

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AWS Machine Learning Blog

APRIL 22, 2024

Recognize the operational challenges of generative AI for sustainability Understanding and appropriately addressing the challenges of implementing generative AI is crucial for organizations aiming to use its potential to address the organization’s sustainability goals and ESG initiatives.

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ESG Generative AI AI AI 139

IBM Journey to AI blog

DECEMBER 16, 2022

After all, Alex may not be aware of all the data available to her. With a data catalog, Alex can discover data assets she may have never found otherwise. An enterprise data catalog automates the process of contextualizing data assets by using: Business metadata to describe an asset’s content and purpose.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

Pickl AI

MARCH 7, 2025

By the end, youll have a clear picture of why Big Data matters in today’s world. Key Takeaways The 4 Vs of Big Data define how businesses handle massive amounts of information. Volume, Velocity, Variety, and Veracity drive insights, AI models, and decision-making.

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Big Data Machine Learning Data Quality Data Science 52

AWS Machine Learning Blog

AUGUST 4, 2023

With this capability, businesses can access their Salesforce data securely with a zero-copy approach using SageMaker and use SageMaker tools to build, train, and deploy AI models. The inference endpoints are connected with Data Cloud to drive predictions in real time.

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Data Scientist ML ETL Data Platform 98

NVIDIA

OCTOBER 23, 2024

With the Indian healthcare market projected to grow from about $180 billion last year to $320 billion by 2028 , the new AI model has the potential to dramatically improve healthcare accessibility and efficiency. million small molecules in less than eight hours — 10x faster than without NIM.

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LLM Generative AI Natural Language Processing Computer Vision 107

The MLOps Blog

JUNE 27, 2023

Experimentation and model development: Platforms should offer features for you to design and run experiments, explore different algorithms and architectures, and optimize model performance. This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Unite.AI

MARCH 5, 2024

Kirsten Nohl highlighted how AI is not just a target but also a participant in cyber warfare, being used to amplify the effects of attacks we're already familiar with. This includes everything from enhancing the sophistication of phishing attacks to automating the discovery of vulnerabilities in software.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

Realizing the impact of these applications can provide enhanced insights to the customers and positively impact the performance efficiency in the organization, with easy information retrieval and automating certain time-consuming tasks.

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Generative AI Large Language Models AI AI 127

Unite.AI

JUNE 14, 2024

Erik Schwartz is the Chief AI Officer (CAIO) Tricon Infotech. In the Generative AI space, there are two primary focus areas. The first, which receives significant attention from some of the largest technology vendors, is training and fine-tuning AI models. a leading consulting and software services company.

Large Language Models 130

Large Language Models Generative AI AI Tools AI 130

Marktechpost

MAY 7, 2024

Their significance lies in securely enabling AI models to execute code tailored to specific problems. This capability unlocks more advanced problem-solving features within AI applications. Athena Intelligence leverages it to enhance AI systems and transform unstructured data into actionable insights.

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Python AI AI Artificial Intelligence 81

Marktechpost

DECEMBER 3, 2024

As generative AI continues to grow, the need for an efficient, automated solution to transform various data types into an LLM-ready format has become even more apparent. The significance of MegaParse lies not just in its versatility but also in its focus on information integrity and efficiency.

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LLM AI Tools Large Language Models Data Ingestion 102