Unite.AI

JULY 2, 2024

Navigating this new, complex landscape is a legal obligation and a strategic necessity, and businesses using AI will have to reconcile their innovation ambitions with rigorous compliance requirements. GDPR's stringent data protection standards present several challenges for businesses using personal data in AI.

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Unite.AI

JANUARY 1, 2025

Similarly, in the United States, regulatory oversight from bodies such as the Federal Reserve and the Consumer Financial Protection Bureau (CFPB) means banks must navigate complex privacy rules when deploying AI models. A responsible approach to AI development is paramount to fully capitalize on AI, especially for banks.

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Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8

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Unite.AI

JANUARY 24, 2025

As Zscaler's first Chief AI Officer, how have you shaped the companys AI strategy, particularly in integrating AI with cybersecurity? Zscaler has made significant advancements in AI for cybersecurity, which set it apart from competitors.

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Unite.AI

JANUARY 20, 2025

For example, if a healthcare provider uses AI to analyze patient data, they need airtight privacy measures that keep individual records safe while still delivering valuable insights. Instead of feeding customer data directly into AI models, use secure integrations like APIs and formal Data Processing Agreements (DPAs) to keep things in check.

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AI Weekly

JULY 20, 2023

vox.com ChatGPT Out-scores Medical Students on Complex Clinical Care Exam Questions A new study shows AI's capabilities at analyzing medical text and offering diagnoses — and forces a rethink of medical education. techtarget.com Applied use cases AI love: It's complicated Movies have hinted at humans falling for their AI chatbots.

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Unite.AI

JULY 10, 2024

The $665m deal is a key part of AMD’s AI push. Silo AI was founded in 2017 and is based in Helsinki, Finland. They are a leading AI research and development company that creates custom AI models, platforms and solutions for many industries with a focus on cloud, embedded, and endpoint computing.

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Unite.AI

JANUARY 30, 2024

According to a report by Deloitte , there are more than 1,600 AI policies and strategies globally, and corporate investment in AI reached US$ 67.9 What is Sovereign AI and Why Does it Matter? This promotes AI innovation and competitiveness, aligning AI development and governance with national values.

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NVIDIA

SEPTEMBER 25, 2023

In the wake of ChatGPT, every company is trying to figure out its AI strategy, work that quickly raises the question: What about security? Security now needs to cover the AI development lifecycle. This includes new attack surfaces like training data, models and the people and processes using them.

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Unite.AI

FEBRUARY 15, 2024

This collaboration is crucial for aligning our AI strategy with the specific needs of our customers, which are constantly evolving. Given the rapid pace of advancements in AI, I dedicate a substantial amount of time to staying abreast of the latest developments and trends in the field.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Ethical and privacy considerations : As conversational AI becomes more advanced and widespread, ethical and privacy concerns will become more prominent. Ensuring fairness and inclusivity in conversational AI is crucial.

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Unite.AI

OCTOBER 10, 2024

Building and operating these models requires high-end hardware, such as GPUs and TPUs, which are essential for training large AI models. Additionally, the storage and processing power required to handle vast datasets for model training further increases operational costs.

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IBM Journey to AI blog

APRIL 18, 2024

Most experts categorize it as a powerful, but narrow AI model. Current AI advancements demonstrate impressive capabilities in specific areas. A key trend is the adoption of multiple models in production. This multi-model approach uses multiple AI models together to combine their strengths and improve the overall output.

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NVIDIA

OCTOBER 23, 2024

With NVIDIA RAPIDS , they’re accelerating data analytics to create a robust foundation for AI development and retrieval-augmented generation (RAG). It has trained 50,000+ AI associates to help clients develop and implement AI strategies that are scalable, sustainable and responsible.

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AWS Machine Learning Blog

JANUARY 24, 2025

Amazon Bedrock has emerged as the preferred choice for tens of thousands of customers seeking to build their generative AI strategy. It offers a straightforward, fast, and secure way to develop advanced generative AI applications and experiences to drive innovation. About the Authors Vishal Naik is a Sr.

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Unite.AI

MARCH 14, 2024

This underscores the critical role of data in training more sophisticated and accurate AI models. Finally, AI strategy and training data constitute the largest allocations within AI budgets, signifying the strategic emphasis on laying a robust foundation for AI initiatives through comprehensive planning and quality data resources.

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Pickl AI

OCTOBER 3, 2024

Summary: Artificial Intelligence Models as a Service (AIMaaS) provides cloud-based access to scalable, customizable AI models. AIMaaS democratises AI, making advanced technologies accessible to organisations of all sizes across various industries.

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Snorkel AI

JUNE 12, 2023

Snorkel’s Foundation Model Data Platform Snorkel’s Foundation Model Data Platform consists of three core solutions: Snorkel Foundry: For programmatic curation and management of datasets for domain-specific pre-training of foundation models. 2007, “Large Language Models in Machine Translation” (2) Gadre et al.

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Snorkel AI

JUNE 12, 2023

Snorkel’s Foundation Model Data Platform Snorkel’s Foundation Model Data Platform consists of three core solutions: Snorkel Foundry: For programmatic curation and management of datasets for domain-specific pre-training of foundation models. 2007, “Large Language Models in Machine Translation” (2) Gadre et al.

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AWS Machine Learning Blog

MAY 9, 2024

These encompass a holistic approach, covering data governance, model development, ethical deployment, and ongoing monitoring, reinforcing the organization’s commitment to responsible and ethical AI/ML practices. Continuous improvement Define rigorous processes for generative AI model development, testing, and deployment.

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Pickl AI

NOVEMBER 3, 2023

To find trends and patterns traders are now actively using trading and AI strategies like statistical analysis, indicators, and chart patterns. Data processing: In order to make well-informed forecasts, AI quickly analyses large datasets, including real-time information from social media and the news.

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Topbots

FEBRUARY 4, 2025

If these nuances arent accounted for, the AI might learn an overly simplified view of supply chain dynamics, resulting in misleading risk assessments and poor recommendations. AI models work with what they have, assuming that all key factors are already present. Consider an AI model built to predict supplier reliability.

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DataRobot Blog

FEBRUARY 15, 2023

To address this issue, DataRobot provides the ability to manage bias by placing greater emphasis on underrepresented features, improving fairness and enhancing the trustworthiness of the AI model. DataRobot makes it simple to take your model live.

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Unite.AI

MARCH 17, 2025

After all, companies cant have AI development without fixing data first, and leaders are pulling away from the pack by using their more matured capabilities to better ideate, prioritize, and ensure adoption of more differentiating and transformational uses of data and AI. To ensure that data is prepared to be consumed (i.e.

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IBM Journey to AI blog

AUGUST 15, 2023

How companies use artificial intelligence in business Artificial intelligence in business leverages data from across the company as well as outside sources to gain insights and develop new business processes through the development of AI models. What are foundation models and how are they changing the game for AI?

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Unite.AI

JULY 25, 2024

A holistic debiasing strategy comprising operational, organizational, and transparency elements is vital. This includes optimizing data collection processes, fostering transparency into AI decision making rationale, and leveraging AI model insights to refine human-driven processes. But reskilling alone is not enough.

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Marktechpost

MARCH 22, 2024

At the heart of these different software projects were algorithms based on Mathematical Programming, Simulation, and Heuristics, as well as AI models based on ML and generative AI. Despite all the hype around AI and Data, many organizations (outside of the software industry) struggle to implement a successful AI strategy.

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IBM Journey to AI blog

JULY 30, 2024

Enabling innovation, responsibly IBM and AWS are committed to lowering the barriers to AI experimentation by providing comprehensive support for pilot projects, including infrastructure credits. By offering these credits, IBM and AWS enable businesses to test and refine their AI strategies in a cost-effective manner.

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Flipboard

DECEMBER 11, 2024

Western sanctions intended to restrict Russia’s access to the technologies it needs to sustain its war against Ukraine have resulted in the world’s major producers of microchips halting exports to Russia, sorely limiting its AI ambitions. But Putin’s move to ally with China could change the dynamics of the AI race.

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