Unite.AI

JANUARY 18, 2024

What are Large Vision Models (LVMs) Over the last few decades, the field of Artificial Intelligence (AI) has experienced rapid growth, resulting in significant changes to various aspects of human society and business operations. This is where the emergence of Large Vision Models (LVMs) becomes crucial.

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IBM Journey to AI blog

AUGUST 1, 2023

IBM Consulting provides the expertise to effectively implement design and creative generative AI models in a scaleable, secure and governed way for the enterprise. As the demand for more and better content explodes, top global companies, including IBM, are now doubling down on automation and AI.

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IBM Journey to AI blog

JULY 17, 2023

While traditional AI approaches provide customers with quick service, they have their limitations. Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. Watsonx.ai

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IBM Journey to AI blog

JULY 27, 2023

Unsurprisingly, the hunger for AI-based solutions has created high demand for education around Automation. Clients are demanding solutions involving AI, and partners are stepping up to the challenge to win more. By capitalizing on our decades of AI leadership, partners get access to proven AI technology.

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IBM Journey to AI blog

SEPTEMBER 6, 2023

For decades, IBM has been at the forefront of AI for business. We provide solutions and services that help marketers implement generative AI responsibly and effectively. Watsonx , IBM’s enterprise-ready AI and data platform, is designed to help marketing and other business leaders confidently move into the generative AI arena.

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NVIDIA

DECEMBER 11, 2023

These target companies include Ayar Labs, specializing in chip-to-chip optical connectivity, and Hugging Face, a hub for advanced AI models. Databricks offers an industry-leading data platform for machine learning, while Cohere provides enterprise automation through AI.

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AWS Machine Learning Blog

AUGUST 4, 2023

We’re excited to announce Amazon SageMaker and Salesforce Data Cloud integration. 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.

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IBM Journey to AI blog

DECEMBER 18, 2023

Earlier this year, we unveiled watsonx running on IBM Cloud to help enterprises train, tune and deploy AI models, while scaling workloads. We also recently announced IBM and VMware are pairing VMware Cloud Foundation, Red Hat OpenShift and the IBM watsonx AI and data platform.

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IBM Journey to AI blog

APRIL 18, 2024

By using complex AI algorithms and computer science methods, these AI systems can then generate human-like text, translate languages with impressive accuracy, and produce creative content that mimics different styles. This gap highlights the vast difference between current AI and the potential of AGI.

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Pickl AI

OCTOBER 25, 2023

From voice assistant to automated mail replies to speech recognition, there are myriads of things where we deploy these technologies. Although we talk about AI and Big Data at the same length, there is an underlying difference between the two. The quality of input data greatly influences the effectiveness of AI models.

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TransOrg Analytics

APRIL 21, 2024

Different Types of Generative AI Models Generative AI represents cutting-edge innovations that are transforming industries worldwide. Understanding the different types of Generative AI models is essential for navigating the evolving landscape of modern AI.

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John Snow Labs

AUGUST 7, 2024

In the context of healthcare, Generative AI has shown promise in numerous applications, streamlining processes that traditionally required extensive manual effort. Generative AI models now play a role, in drug discovery and development by reducing time and costs associated with bringing new medications to market.

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Unite.AI

SEPTEMBER 10, 2024

Together, Ulrik and I saw a huge opportunity to build a platform to automate and streamline the AI data development process, making it easier for teams to get the best data into models and build trustworthy AI systems. We are the layer between a company’s data and their AI.

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Pickl AI

JUNE 23, 2023

The Importance of Data-Centric Architecture Data-centric architecture is an approach that places data at the core of AI systems. At the same time, it emphasizes the collection, storage, and processing of high-quality data to drive accurate and reliable AI models. How Does Data-Centric AI Work?

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ODSC - Open Data Science

OCTOBER 20, 2023

Building and Deploying a Gen AI App in 20 Minutes Nick Schenone | Pre-Sales MLOps Engineer | Iguazio Building your own Generative AI application can be quite difficult. In this session, we’ll demonstrate how you can fine-tune a Gen AI model, build a Gen AI application, and deploy it in 20 minutes.

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IBM Journey to AI blog

FEBRUARY 19, 2024

Figure 1: Data driven business transformation Critical aspects of data-driven business transformation are the overall data monetization strategy and how data products are used. Data insight and AI automation drive cost optimization with predictive maintenance, process automation and workforce optimization.

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John Snow Labs

FEBRUARY 29, 2024

In the context of healthcare, Generative AI has shown promise in numerous applications, streamlining processes that traditionally required extensive manual effort. Generative AI models now play a role, in drug discovery and development by reducing time and costs associated with bringing new medications to market.

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IBM Journey to AI blog

JUNE 8, 2023

So how do businesses that want to incorporate AI move forward when there is such a high level of difficulty? Krista Software helps Zimperium automate operations with IBM Watson Vamsi Kurukuri, VP of Site Reliability at Zimperium, developed a strategy to remove roadblocks and pain points in Zimperium’s deployment process.

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AWS Machine Learning Blog

AUGUST 4, 2023

Use the newly launched SageMaker provided project template for Salesforce Data Cloud integration to streamline implementing the preceding steps by providing the following templates: An example notebook showcasing data preparation, building, training, and registering the model. frameworks to restrict client access to your APIs.

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IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. It’s the first multilingual LLM trained in complete transparency.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

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IBM Journey to AI blog

AUGUST 22, 2024

But by leveraging the hybrid cloud architecture with Red Hat® OpenShift® that IBM Consulting has built over years of working with the USTA, the development team can quickly create, test and implement new automated workflows to address such challenges. This year’s content engine is one such workflow.

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IBM Journey to AI blog

JULY 3, 2024

By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses.

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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

JUNE 21, 2023

And this year, Wimbledon is tapping into the power of generative AI, producing new digital experiences on the Wimbledon app and website using IBM’s new trusted AI and data platform, watsonx. For AI Commentary, the team drew source material from nearly 130 million documents.

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IBM Journey to AI blog

AUGUST 17, 2023

Year after year, IBM Consulting works with the United States Tennis Association (USTA) to transform massive amounts of data into meaningful insight for tennis fans. This year, the USTA is using watsonx , IBM’s new AI and data platform for business.

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Unite.AI

JUNE 4, 2024

Google Cloud’s AI and machine learning services, including the new generative AI models, empower businesses to harness advanced analytics, automate complex processes, and enhance customer experiences. This led to inconsistent data standards and made it difficult for them to gain actionable insights.

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IBM Journey to AI blog

JULY 17, 2023

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. ” Romain Gaborit, CTO, Eviden, an ATOS business “We’re looking at the potential usage of Large Language Models. .”

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IBM Journey to AI blog

JANUARY 10, 2024

Data is often divided into three categories: training data (helps the model learn), validation data (tunes the model) and test data (assesses the model’s performance). For optimal performance, AI models should receive data from a diverse datasets (e.g.,

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IBM Journey to AI blog

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? The platform comprises three powerful products: The watsonx.ai

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AWS Machine Learning Blog

OCTOBER 20, 2023

Recent developments in generative AI models have further sped up the need of ML adoption across industries. However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale.

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IBM Journey to AI blog

DECEMBER 20, 2023

Many retailers’ e-commerce platforms—including those of IBM, Amazon, Google, Meta and Netflix—rely on artificial neural networks (ANNs) to deliver personalized recommendations. With IBM® watsonx.ai ™ AI studio, developers can manage ML algorithms and processes with ease.

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IBM Journey to AI blog

AUGUST 3, 2023

IBM Consulting brings together deep HR, industry and technology expertise with our AI for business solutions, Watson Orchestrate and watsonx, and an open ecosystem of partners. Watson Orchestrate can help automate and enhance the acquisition lifecycle from a single user interface that integrates with applications across our partner ecosystem.

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Marktechpost

JULY 17, 2023

It is impossible to completely substitute accurate data because precise, accurate data are still needed to generate practical synthetic examples of the information. How Important Is Synthetic Data? AI models are typically more accurate when they have more varied training data.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

In order analyze the calls properly, Principal had a few requirements: Contact details: Understanding the customer journey requires understanding whether a speaker is an automated interactive voice response (IVR) system or a human agent and when a call transfer occurs between the two.

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Flipboard

NOVEMBER 24, 2023

This offering enables BMW ML engineers to perform code-centric data analytics and ML, increases developer productivity by providing self-service capability and infrastructure automation, and tightly integrates with BMW’s centralized IT tooling landscape. A data scientist team orders a new JuMa workspace in BMW’s Catalog.

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Marktechpost

AUGUST 21, 2023

When combined with data from other sources, including marketing data platforms, Excel may provide invaluable insights quickly. Anyone with access to a spreadsheet can use PromptLoop to create AI-enabled spreadsheet models with little to no prior experience in AI or programming.

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