Ivanti

JUNE 27, 2023

In the blog “ How Generative AI Can Benefit Knowledge Management ”, we looked at the benefits of AI to knowledge management to enhance the quality, automating the creation of content and enabling more engaging content. Having identified the data type, generative AI is only as good as the data it's trained on.

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CIO

APRIL 11, 2024

Even so, many clients tell Gartner they are not ready to trust Oracle as their primary provider, Wright says, due to past experiences with Oracle’s aggressive sales practices. We have unique knowledge of what exactly is required to give customers what they want, how they want it,” he says. These days that includes generative AI.

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AWS Machine Learning - AI

NOVEMBER 27, 2023

Generative artificial intelligence ( generative AI ) models have demonstrated impressive capabilities in generating high-quality text, images, and other content. There could also be a lot of low-quality contents or bot-generated texts, which can be filtered out using accompanying metadata (e.g., read HTML).

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AWS Machine Learning - AI

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. System integration – Agents make API calls to integrated company systems to run specific actions.

Knowledge Base 115

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Tenable

APRIL 26, 2024

Check out what’s new in Version 15 of the MITRE ATT&CK knowledge base of adversary tactics, techniques and procedures. In addition, why AI cyberthreats aren’t impacting CISOs’ budgets. 1 - New version of MITRE ATT&CK adds guidance on generative AI, cloud threats Information about malicious use of generative AI tools.

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CIO

FEBRUARY 29, 2024

Generative AI offers great potential as an interface for enabling users to query your data in unique ways to receive answers honed for their needs. For example, as query assistants, generative AI tools can help customers better navigate an extensive product knowledge base using a simple question-and-answer format.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

One way to enable more contextual conversations is by linking the chatbot to internal knowledge bases and information systems. Integrating proprietary enterprise data from internal knowledge bases enables chatbots to contextualize their responses to each user’s individual needs and interests.

Knowledge Base 93

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AWS Machine Learning - AI

MAY 14, 2024

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. An important aspect of developing effective generative AI application is Reinforcement Learning from Human Feedback (RLHF).

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Tenable

MARCH 8, 2024

That’s according to ISC2’s survey “AI in Cyber 2024: Is the Cybersecurity Profession Ready?” Phobos ransomware hitting critical infrastructure, emergency services And we’re returning to the topic of how ransomware gangs have their sights set on critical infrastructure targets. What’s new? For starters, version 2.0 Also new in version 2.0

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AWS Machine Learning - AI

MAY 9, 2024

Verisk (Nasdaq: VRSK) is a leading data analytics and technology partner for the global insurance industry. In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results.

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John Snow Labs

SEPTEMBER 26, 2023

Experts Share Perspectives on How Advanced NLP Technologies Will Shape Their Industries and Unleash Better & Faster Results. The whole market for LLMs and generative AI is expected to reach $11.3 LLM-based tools are recognized for their ability to access databases and knowledge bases.

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Artificial Inteligence Technical Review Healthcare Knowledge Base 52

AWS Machine Learning - AI

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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AWS Machine Learning - AI

MAY 13, 2024

Amazon Bedrock also comes with a broad set of capabilities required to build generative AI applications with security, privacy, and responsible AI. You can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.

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Generative AI Artificial Inteligence Report Healthcare 100

AWS Machine Learning - AI

DECEMBER 22, 2023

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models (FMs) and other augmenting tools based on user input. The agent is equipped with tools that include an Anthropic Claude 2.1

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AWS Machine Learning - AI

APRIL 18, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon with a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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AWS Machine Learning - AI

APRIL 24, 2024

Conversational artificial intelligence (AI) assistants are engineered to provide precise, real-time responses through intelligent routing of queries to the most suitable AI functions. With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests.

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AWS Machine Learning - AI

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications. LangChain is an open source Python library designed to build applications with LLMs.

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AWS Machine Learning - AI

MAY 7, 2024

Although much of the current excitement is around LLMs for generative AI tasks, many of the key use cases that you might want to solve have not fundamentally changed. This is often achieved through the inclusion of human review, because no automated approach is entirely foolproof. that is due by July 31st.

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TechCrunch

DECEMBER 30, 2022

Generative AI is coming for videos. A new website, QuickVid , combines several generative AI systems into a single tool for automatically creating short-form YouTube, Instagram, TikTok and Snapchat videos. QuickVid certainly isn’t pushing the boundaries of what’s possible with generative AI.

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AWS Machine Learning - AI

DECEMBER 6, 2023

Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. RAG is a framework for improving the quality of text generation by combining an LLM with an information retrieval (IR) system.

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Mobilunity

DECEMBER 5, 2023

Thousands of businesses have started using generative AI, like AI ChatGPT, Jasper, Dall-E, Scribe, etc., And to make the best out of these tools, many of those companies hire a separate specialist — an AI prompt engineer. Prompt Engineering vs. AI Engineering 73% of US marketers use generative AI tools.

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AWS Machine Learning - AI

MARCH 19, 2024

Generative AI using large pre-trained foundation models (FMs) such as Claude can rapidly generate a variety of content from conversational text to computer code based on simple text prompts, known as zero-shot prompting. Answers are generated through the Amazon Bedrock knowledge base with a RAG approach.

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AWS Machine Learning - AI

NOVEMBER 30, 2023

We believe generative AI has the potential over time to transform virtually every customer experience we know. Innovative startups like Perplexity AI are going all in on AWS for generative AI. And at the top layer, we’ve been investing in game-changing applications in key areas like generative AI-based coding.

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John Snow Labs

JULY 28, 2023

State of the Art Generative AI for Healthcare: [link] John Snow Labs’ Medical Chatbot is an advanced conversational AI platform designed for high-compliance healthcare environments. These knowledge bases are regularly updated, guaranteeing access to the latest medical knowledge. Click on this button.

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Artificial Inteligence AWS Software Review Healthcare 52

AWS Machine Learning - AI

APRIL 26, 2024

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG).

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CIO

SEPTEMBER 27, 2023

Gen AI is a relatively new tool for organizations and individual users. And while many CIOs might have a fairly solid understanding of the technology, putting it into actual use at scale is something else entirely. As with any other significant technology rollout, it’s generally better to walk before running.

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CIO

JULY 6, 2023

But adding artificial intelligence (AI) to the mix is where an even bigger payoff can come. Organizations have been combining automation and AI technologies for a few years now to improve their business processes,” says Maureen Fleming, program vice president at research firm IDC. “AI

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Capgemini

NOVEMBER 22, 2023

Empowering Agents: How generative AI supports contact center agents in banking Vinay Patel 18 October 2023 Facebook Twitter Linkedin In the fast-paced world of banking, customer service plays a pivotal role in building trust and loyalty. Use cases of generative AI in banking contact centers 1.

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Xebia

APRIL 26, 2023

Natural language can serve as a mere (and democratized) interface to solve tasks that can be too technical and time-consuming to execute (say, writing API calls, building boilerplate code, sketching images/diagrams, etc), yet trivial for humans to understand and validate. For example, due to the high cost or lack of the necessary expertise.

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