AI News

JULY 21, 2023

In a shift from his previous hands-off approach, Google co-founder Sergey Brin has been actively involved in the company’s AI endeavours. Brin has been particularly focusing on the development of Google’s next-generation AI model, Gemini. Image Credit: Thomas Hawk under CC BY-NC 2.0

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AI News

APRIL 4, 2024

And what could that look like in this new world of AI? Solving the data quality problem The critical first element to powering an effective AI strategy is a unified customer data foundation. Carefully evaluate if Gen AI is the most appropriate tool for your specific use case.

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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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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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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? This includes new attack surfaces like training data, models and the people and processes using them. Monitor AI model performance closely. They’re valuable and vulnerable.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

According to the IBM survey, when CMOs were asked what they thought the primary challenges were in adopting generative AI, they listed three top concerns: managing the complexity of implementation, building the data set and brand and intellectual property (IP) risk. With the right generative AI strategy, marketers can mitigate these concerns.

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IBM Journey to AI blog

OCTOBER 25, 2023

Thus, it’s wise for CTOs to factor sustainability into their generative AI adoption calculus. Training, tuning and running AI models can leave an enormous carbon footprint. That’s why IBM helps tailor generative AI for the enterprise with foundation models that are trustworthy, portable and energy efficient.

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IBM Journey to AI blog

MARCH 4, 2024

Generative AI (gen AI) introduces transformative innovation to all aspects of a business; from the front to the back office, through ongoing technology modernization, and into new product and service development. We refer to this transformation as becoming an AI+ enterprise. Operations Incidents occur, even in an AI-first world.

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IBM Journey to AI blog

MAY 25, 2023

In 2023 alone, IBM Consulting has interacted with more than 100 clients and completed dozens of engagements infusing generative AI alongside classical machine learning AI strategies. The CoE is off to a fast start.

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AI Weekly

JULY 20, 2023

This capability, made possible through Optical Character Recognition (OCR), is now within your grasp, geeky-gadgets.com MLCommons launches a new platform to benchmark AI medical models With the pandemic acting as an accelerant, the healthcare industry is embracing AI enthusiastically. dataversity.net Is AI advancing too quickly?

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IBM Journey to AI blog

JUNE 23, 2023

The promise of generative AI in F&A is grand, as indicated in a recent IBM study that found that executives expect that 48% of the staff across their organizations (including 34% of finance staff) will use generative AI to augment their daily tasks in the next year.

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Unite.AI

JANUARY 30, 2024

Moreover, nations must keep up with the rapid pace of AI development, the uneven distribution of AI resources, and the diverse views of AI stakeholders. Nations are pursuing Sovereign AI with different models and strategies tailored to their unique motivations, goals, approaches, and challenges.

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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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IBM Journey to AI blog

JULY 19, 2023

Accelerate mRNA medicines design : Moderna, which has been leveraging machine learning and AI to advance the field of messenger RNA (mRNA) to create a diverse clinical portfolio of vaccines and therapeutics across seven modalities, is partnering with IBM to leverage generative AI to design mRNA medicines with optimal safety and performance.

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IBM Journey to AI blog

FEBRUARY 23, 2024

However, there are also potential challenges and limitations to consider: Data bias : AI models rely on data provided by humans, which can be biased in various ways. Ensuring fairness and inclusivity in conversational AI is crucial.

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Defined.ai blog

AUGUST 23, 2023

These are just a few examples of how marketing data is shaping the world of AI, creating more intelligent, more responsive systems that transform customer experiences. But the influence of marketing data isn’t limited to shaping AI. AI and data analysis skill gaps within organizations can also hinder progress.

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Mlearning.ai

JULY 22, 2023

The tech giant has adopted an interesting technique to further enhance the privacy features of its AI products. Unlike cloud-based AI, which can be run on cloud servers from anywhere with an internet connection, Apple has resorted to on-device AI.

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IBM Journey to AI blog

AUGUST 7, 2023

Provides timely information that enables proactive evidence-based decision-making enabling minor course corrections with larger impact, such as adjusting strategies, allocating resources to ensure a clinical trial stays on track, thus helping to maximize the success of the trial.

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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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Snorkel AI

JUNE 12, 2023

Building for real AI value with a data-first approach While a small number of loud voices proclaim apocalyptic futures, most practitioners today are stuck on the challenges of getting AI models to achieve production accuracy, avoid hallucinations and biases, and work reliably in real, high-value settings.

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Snorkel AI

JUNE 12, 2023

Building for real AI value with a data-first approach While a small number of loud voices proclaim apocalyptic futures, most practitioners today are stuck on the challenges of getting AI models to achieve production accuracy, avoid hallucinations and biases, and work reliably in real, high-value settings.

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Kavita Ganesan

OCTOBER 21, 2022

This will help us all see how to handle similar challenges when deploying AI in our organizations. Data Data is often a big reason why AI models fail. Work directly with me to improve AI understanding in your organization, accelerate AI strategy development and get meaningful outcomes from every AI initiative.

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IBM Journey to AI blog

MAY 9, 2023

With watsonx.data, businesses will be able to build trustworthy AI models and automate AI life cycles on multicloud architectures, taking full advantage of interoperability with IBM and third-party services.

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Viso.ai

NOVEMBER 19, 2023

is an end-to-end platform designed to help businesses train ML models and applications with remarkable ease. It allows both beginners and experts to build or train AI models by leveraging AutoML functionalities. Hence, users are not required to download sensitive training data or even models to their local machine.

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IBM Journey to AI blog

FEBRUARY 8, 2023

Adherence to responsible artificial intelligence (AI) standards follows similar tenants. Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 AI requires AI governance , not after the fact but baked into AI strategy of your organization. billion by 2025.

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AI News

SEPTEMBER 26, 2023

AN: Do you have any best practices and tools that you use for testing, monitoring, and debugging your AI models and applications to ensure quality and reliability? HT: Customer data unlocks the promise of AI as a unique market advantage, but your AI is only as good as the data you put into it.

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IBM Journey to AI blog

JULY 10, 2023

This ensures that technology implementation remains focused, and it underscores the importance of a top-down approach to an organization’s AI strategy. Training AI models closer to the data itself improves efficiency and reduces costs (compared to dedicated GPU infrastructure).

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Marktechpost

JUNE 17, 2023

This integration empowers developers to utilize a wide range of AI models powered by PyTorch on AMD accelerators. Furthermore, Hugging Face, an open platform for AI builders, announced plans to optimize thousands of their models for AMD platforms.

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IBM Journey to AI blog

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

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Kavita Ganesan

SEPTEMBER 9, 2022

However, executives, technology leaders, and product managers looking to make AI an integral part of their business should also be well-versed with the technology. We’re not talking about getting into AI model development. Further, this AI knowledge can be handy in several ways. . #3:

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AWS Machine Learning Blog

MAY 1, 2024

About the authors Marco Punio is a Solutions Architect focused on generative AI strategy, applied AI solutions and conducting research to help customers hyperscale on AWS. Rohit Talluri is a Generative AI GTM Specialist (Tech BD) at Amazon Web Services (AWS).

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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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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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NVIDIA

JANUARY 30, 2024

Singtel’s initiative supports Singapore’s national AI strategy to empower its citizens with the latest technology. Singtel will use its Paragon software platform to orchestrate how the new AI applications work in concert with its mobile and broadband services.

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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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