AI News

DECEMBER 9, 2024

The best way to overcome this hurdle is to go back to data basics. Organisations need to build a strong data governance strategy from the ground up, with rigorous controls that enforce data quality and integrity. The clear takeaway is to offer comprehensive training in quality prompting and other relevant skills.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

No technology in human history has seen as much interest in such a short time as generative AI (gen AI). How might generative AI achieve this? The applications of this technology are numerous, but they can generally be described as improving the efficiency of communication between humans and machines.

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AWS Machine Learning Blog

NOVEMBER 7, 2024

While organizations continue to discover the powerful applications of generative AI , adoption is often slowed down by team silos and bespoke workflows. To move faster, enterprises need robust operating models and a holistic approach that simplifies the generative AI lifecycle.

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Unite.AI

AUGUST 25, 2023

Just as supply chain disruptions became the frequent subject of boardroom discussions in 2020, Generative AI quickly became the hot topic of 2023. Supply chains are, to a certain extent, well suited for the applications of generative AI, given they function on and generate massive amounts of data.

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Unite.AI

DECEMBER 27, 2024

Its not a choice between better data or better models. The future of AI demands both, but it starts with the data. Why Data Quality Matters More Than Ever According to one survey, 48% of businesses use big data , but a much lower number manage to use it successfully. Why is this the case?

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Unite.AI

JANUARY 29, 2024

In the digital era, misinformation has emerged as a formidable challenge, especially in the field of Artificial Intelligence (AI). As generative AI models become increasingly integral to content creation and decision-making, they often rely on open-source databases like Wikipedia for foundational knowledge.

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Unite.AI

NOVEMBER 1, 2024

According to Forrester , a staggering 92% of technology leaders are planning to increase their data management and AI budgets in 2024. In the latest McKinsey Global Survey on AI , 65% of respondents indicated that their organizations are regularly using generative AI technologies.

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AI News

NOVEMBER 21, 2023

In the wake of the generative AI (GenAI) revolution, UK businesses find themselves at a crossroads between unprecedented opportunities and inherent challenges. Unprecedented opportunities Generative AI has stormed the scene with remarkable speed. Companies have struggled with data quality and data hygiene.

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AI News

MAY 3, 2024

.” While the potential of AI is undeniable, Ros acknowledged the key mistakes businesses often make when deploying AI solutions, emphasising the importance of having a robust data strategy, building adequate data pipelines, and thoroughly testing the models.

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Unite.AI

JANUARY 30, 2025

Inna Tokarev Sela, the CEO and Founder of Illumex , is transforming how enterprises prepare their structured data for generative AI. Illumex enables organizations to deploy genAI analytics agents by translating scattered, cryptic data into meaningful, context-rich business language with built-in governance.

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Unite.AI

DECEMBER 17, 2024

In the US alone, generative AI is expected to accelerate fraud losses to an annual growth rate of 32%, reaching US$40 billion by 2027, according to a recent report by Deloitte. Perhaps, then, the response from banks should be to arm themselves with even better tools, harnessing AI across financial crime prevention.

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Unite.AI

NOVEMBER 15, 2024

It’s very clear that the perception of AI has changed because of generative AI. AI underlies a lot of our modern technology, like the Google Search Engine. Inadequate access to data means life or death for AI innovation within the enterprise. Then came ChatGPT.

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Unite.AI

JANUARY 2, 2025

AI has the opportunity to significantly improve the experience for patients and providers and create systemic change that will truly improve healthcare, but making this a reality will rely on large amounts of high-quality data used to train the models. Why is data so critical for AI development in the healthcare industry?

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Unite.AI

DECEMBER 20, 2024

As the demand for generative AI grows, so does the hunger for high-quality data to train these systems. Scholarly publishers have started to monetize their research content to provide training data for large language models (LLMs). Transparency is also an essential factor.

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AWS Machine Learning Blog

FEBRUARY 18, 2025

By using generative AI, engineers can receive a response within 510 seconds on a specific query and reduce the initial triage time from more than a day to less than 20 minutes. Creating ETL pipelines to transform log data Preparing your data to provide quality results is the first step in an AI project.

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Flipboard

DECEMBER 27, 2023

Presented by SQream The challenges of AI compound as it hurtles forward: demands of data preparation, large data sets and data quality, the time sink of long-running queries, batch processes and more. In this VB Spotlight, William Benton, principal product architect at NVIDIA, and others explain how …

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Unite.AI

JANUARY 27, 2025

Enterprise-wide AI adoption faces barriers like data quality, infrastructure constraints, and high costs. How does Cirrascale address these challenges for businesses scaling AI initiatives? While Cirrascale does not offer Data Quality type services, we do partner with companies that can assist with Data issues.

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Unite.AI

MARCH 14, 2025

Proof of Concept (PoC) projects are the testing ground for new technology, and Generative AI (GenAI) is no exception. Add in common issues like poor data quality, scalability limits, and integration headaches, and its easy to see why so many GenAI PoCs fail to move forward. What does success really mean for a GenAI PoC?

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IBM Journey to AI blog

OCTOBER 22, 2024

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.

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O'Reilly Media

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. Many AI adopters are still in the early stages. What’s the reality?

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IBM Journey to AI blog

JANUARY 9, 2024

The emergence of generative AI prompted several prominent companies to restrict its use because of the mishandling of sensitive internal data. According to CNN, some companies imposed internal bans on generative AI tools while they seek to better understand the technology and many have also blocked the use of internal ChatGPT.

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Towards AI

OCTOBER 31, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! We’re also excited to share updates on Building LLMs for Production, now available on our own platform: Towards AI Academy.

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Unite.AI

MAY 15, 2024

This is doubly true for complex AI systems, such as large language models, that process extensive datasets for tasks like language processing, image recognition, and predictive analysis. Only then can we raise the potential of AI and large language model projects to breathtaking new heights.

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Unite.AI

FEBRUARY 17, 2025

AI agents represent the next wave in enterprise AI. They build upon the foundations of predictive and generative AI but take a significant leap forward in terms of autonomy and adaptability. Regularly involve business stakeholders in the AI assessment/selection process to ensure alignment and provide clear ROI.

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Unite.AI

DECEMBER 4, 2024

Clari harnesses a decade of historical revenue data, creating a powerful foundation for Generative AI to uncover revenue risks and opportunities. With advanced predictive insights, Clari delivers precise revenue forecasts that enable smarter, data-driven decisions across the business.

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IBM Journey to AI blog

OCTOBER 21, 2024

In this environment, data intelligence is not an optional tool but a critical component of every business’s survival kit. Organizations are undergoing transformative shifts in their data strategies. million annually due to poor data quality.

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IBM Journey to AI blog

MAY 8, 2023

Artificial intelligence (AI) is polarizing. In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. It excites the futurist and engenders trepidation in the conservative.

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SAS Software

MARCH 14, 2024

Data quality is a cornerstone for integrating large language models (LLMs) into organizations. High-quality data is the lifeblood that ensures the accuracy, relevance, and reliability of the model's outputs. The adage "garbage in, garbage out" holds particularly true here.

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Large Language Models Data Quality Generative AI AI 64

Flipboard

JUNE 15, 2023

Read the full series here: Building the foundation for customer data quality. The rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies is pushing the boundaries of what can be achieved in marketing, customer experience … This article is part of a VB special issue.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

AWS AI chips, Trainium and Inferentia, enable you to build and deploy generative AI models at higher performance and lower cost. This data makes sure models are being trained smoothly and reliably. Neuron is the SDK used to run deep learning workloads on Trainium and Inferentia based instances.

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IBM Journey to AI blog

NOVEMBER 24, 2023

While attempting to drive acceleration and optimize cost of modernization, Generative AI is becoming a critical enabler to drive change in how we accelerate modernization programs. Let us explore the Generative AI possibilities across these lifecycle areas. Subsequent phases are build and test and deploy to production.

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SAS Software

JULY 9, 2024

Adding linguistic techniques in SAS NLP with LLMs not only help address quality issues in text data, but since they can incorporate subject matter expertise, they give organizations a tremendous amount of control over their corpora.

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TheSequence

DECEMBER 3, 2023

📝 Editorial: AWS’ Generative AI Strategy Starts to Take Shape and Looks a Lot Like Microsoft’s The AWS re:Invent conference has long been regarded as the premier event of the year for cloud computing. For years, Amazon was perceived as lagging behind cloud computing rivals Microsoft and Google in generative AI.

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AI Strategy Generative AI DevOps Data Quality 110

Marktechpost

JULY 2, 2024

The rise of Generative AI (GenAI) has revolutionized various industries, from healthcare and finance to entertainment and customer service. The effectiveness of GenAI systems hinges on the seamless integration of four critical components: Human, Interface, Data, and large language models (LLMs).

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AWS Machine Learning Blog

DECEMBER 11, 2024

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Using the services built-in source connectors standardizes and simplifies the work needed to maintain data quality and manage the overall data lifecycle.

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Marktechpost

FEBRUARY 9, 2025

Experimental results show its potential to generate more accurate and diverse synthetic datasets for machine learning tasks. The evaluation of BARE focuses on diversity, data quality, and downstream performance across the same domains and baselines discussed earlier. 70B-Base for initial generation and Llama-3.1-70B-Instruct

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Unite.AI

OCTOBER 4, 2023

Artificial Intelligence (AI), particularly Generative AI , continues to exceed expectations with its ability to understand and mimic human cognition and intelligence. However, in many cases, the outcomes or predictions of AI systems can reflect various types of AI bias, such as cultural and racial.

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