CIO

AUGUST 21, 2024

In this piece, we’ll look at five examples of benefits modern ECM systems can bring to companies across several vertical industries. Separate large packets of document While optical character recognition (OCR) has long been used to help “read” documents such as PDFs, the advent of AI capabilities makes it far more effective and accurate.

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Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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CIO

JUNE 13, 2024

That’s what a number of IT leaders are learning of late, as the AI market and enterprise AI strategies continue to evolve. But purpose-built small language models (SLMs) and other AI technologies also have their place, IT leaders are finding, with benefits such as fewer hallucinations and a lower cost to deploy.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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Mentormate

DECEMBER 12, 2023

In a previous blog post, we introduced a five-phase framework to plan out Artificial Intelligence (AI) and Machine Learning (ML) initiatives. The Traditional Machine Learning Workflow Initiating a traditional ML project begins with collecting data. Duplicated records are identified and rectified.

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Palo Alto Networks

APRIL 2, 2024

Artificial intelligence (AI) plays a crucial role in both defending against and perpetrating cyberattacks, influencing the effectiveness of security measures and the evolving nature of threats in the digital landscape. A large language model (LLM) is a state-of-the-art AI system, capable of understanding and generating human-like text.

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CIO

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many That makes it impractical to train an LLM from scratch. Training GPT-3 was heralded as an engineering marvel.

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Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. What is Machine Learning. Instead, they are learned by training a model on data.

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CIO

SEPTEMBER 9, 2024

When it comes to the different types of artificial intelligence (AI), 1+1+1 can equal more than three. Composite AI provides explanations of root causes in plain language and often automatically fixes issues before they grow into giant headaches for IT. AI trained on biased data may produce unreliable results.

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Xebia

JANUARY 11, 2024

Collective decision-making supported by artificial intelligence (AI) is the key to boosting performance. For example, we assume that if we offer a discount, customers will buy more. Both human and artificial intelligence play important roles. Leaders should be trained to be open-minded.

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CIO

MAY 15, 2024

If Act One of digital transformation was building applications—for example, building omnichannel customer experiences—then Act Two is adding GenAI. Its core capability—using large language models (LLMs) to create content, whether it’s code or conversations—can introduce a whole new layer of engagement for organizations.

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AWS Machine Learning - AI

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task.

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CIO

JUNE 10, 2024

As head of transformation, artificial intelligence, and delivery at Guardian Life, John Napoli is ramping up his company’s AI initiatives. Now, they’re racing to train workers fast enough to keep up with business demand. And a big part of that is scaling up AI talent. Here’s how IT leaders are coping.

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O'Reilly Media - Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

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AWS Machine Learning - AI

MARCH 28, 2024

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains.

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TechFides Blog

AUGUST 29, 2024

With the mad rush to apply Artificial Intelligence capability to almost every square inch of our daily lives, it is absolutely critical to be cognizant of the types of bias that are inherent in the existing AI models. ” Consider your experience with information on the internet over the past 25-30 years.

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Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? What is IoT or Internet of Things?

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CIO

JANUARY 24, 2024

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain. Financially, it was impractical to deploy the model on GPU-based cloud infrastructure. AI encompasses many things.

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Prisma Clud

JULY 20, 2023

LLM and Cloud Security Let’s explore the relationship between LLMs and cloud security, discussing how these advanced models can be dangerous, as well as leveraged to improve the overall security posture of cloud-based systems. Examples of LLMs include OpenAI's ChatGPT, Google’s Bard and Microsoft's new Bing search engine.

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Openxcell

MARCH 21, 2023

MACHINE LEARNING- the most hyped technology these days due to its ability to automate tasks, detect patterns and learn from the data. In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. What is Machine Learning?

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AWS Machine Learning - AI

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.

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Perficient

FEBRUARY 27, 2023

Machine learning is now being used all around the world and its helping analytics team greatly in saving costs and improving business decisions. A Machine learning project starts with Raw data and Ends with a web application that can predict outcomes and generate insights from raw data.

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CIO

APRIL 30, 2024

Saudi Aramco is spearheading the innovations by embracing cutting-edge technologies like artificial intelligence, both within its core operations and beyond, which places the company ahead of the curve. These images are then analyzed using machine learning algorithms to detect oil spills and pollutants.

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John Snow Labs

JULY 4, 2023

What are Medical Large Language Models (LLMs)? Medical or healthcare large language models (LLMs) are advanced AI-powered systems designed to do precisely that. How do medical large language models (LLMs) assist physicians in making critical diagnoses?

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The Parallax

JUNE 5, 2019

The mirror, built by the CareOS subsidiary of the French tech company Baracoda , offers personalized recommendations guided by Google’s TensorFlow Lite machine-learning algorithm platform. READ MORE ON MACHINE LEARNING. How Facebook fights fake news with machine learning and human insights.

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CIO

SEPTEMBER 19, 2024

While it’s still early days, he pointed out that “[the agents] basically run off of data, and the quality of data that you have is fundamental to the quality of the output of the model. That work takes a lot of machine learning and AI to accomplish.

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Netflix Tech

NOVEMBER 11, 2022

Many users across many platforms make for a uniquely large attack surface that includes content fraud, account fraud, and abuse of terms of service. Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms.

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O'Reilly Media - Data

JULY 17, 2018

Although machine learning (ML) can produce fantastic results, using it in practice is complex. For example, Uber and Facebook have built Michelangelo and FBLearner Flow to manage data preparation, model training, and deployment. Machine learning workflow challenges. It’s hard to track experiments.

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Exadel

APRIL 13, 2021

Python is irreplaceable for Machine Learning, but running Python in production can be a problem if other parts of the system are written using C#. ML.NET is a Machine Learning library for C# that helps deliver Machine Learning features in a.NET environment more quickly. That is where ML.NET can help.

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Apiumhub

DECEMBER 8, 2022

In this article, we will look at the Linear Regression model for Machine Learning , which is one of the most basic models available. With this definition, we now must see the way to train a model following this equation. We have seen the basics of linear regression and its applications to machine learning.

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CIO

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. For example, most people know Google and Alphabet are the same employer.

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CIO

MAY 10, 2024

The bill does not limit AI’s definition to any specific area, such as generative AI, large language models (LLMs), or machine learning. Instead, any means of artificial intelligence, including using an optical character reader (OCR) to scan resumes, is covered. That’s legal.

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Cloudera

FEBRUARY 16, 2022

While it is a little dated, one amusing example that has been the source of countless internet memes is the famous, “is this a chihuahua or a muffin?” In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Machine Learning Model Lineage.

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Apiumhub

MAY 15, 2024

Artificial Intelligence 101 has become a transformative force in many areas of our society, redefining our lives, jobs, and perception of the world. AI involves the use of systems or machines designed to emulate human cognitive ability, including problem-solving and learning from previous experiences.

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CIO

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

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Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. It allows us to control PCs, smartphones, and other devices via voice commands and dictate texts to machines instead of manual entering.

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O'Reilly Media - Data

JUNE 5, 2018

Why model development does not equal software development. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. Models degrade in accuracy as soon as they are put in production.

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