Unite.AI

MAY 30, 2024

Additionally, they are equipped with pre-built algorithms and modules, such as data connectors, APIs, and machine learning models. Examples include Microsoft Power Automate and OutSystems. By lowering technical barriers, these platforms enable more people to contribute to AI development.

AI Developer 200

AI Developer AI Development AI Tools AI 200

Unite.AI

MAY 27, 2024

AI-enabled hyper-personalized banking can create a more tailored banking experience for customers, with bespoke financial products, investment advice, and fraud protection for their unique needs and preferences. This joint effort is essential to establish industry-wide standards, address ethical concerns, and ensure responsible AI deployment.

Explainability 223

Explainability Machine Learning Algorithm AI 223

IBM Journey to AI blog

APRIL 11, 2024

It “…provides a structured approach to the safe development, deployment and use of generative AI. In doing so, the framework highlights gaps and opportunities in addressing safety concerns, viewed from the perspective of four primary actors: AI model creators, AI model adapters, AI model users, and AI application users.”

AI 187

AI AI Responsible AI AI Modeling 187

IBM Journey to AI blog

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly.

Data Scientist 194

Data Scientist Metadata Responsible AI Explainability 194

Unite.AI

MAY 6, 2024

They can automate tasks, optimize processes, and empower individuals or small teams to achieve remarkable feats. These assistants adhere to Responsible AI principles, ensuring transparency, accountability, security, and privacy while continuously improving their accuracy and performance through automated evaluation of model output.

Automation 147

Automation Software Engineer Generative AI Software Development 147

Unite.AI

JUNE 2, 2023

Statista reports that by 2024, the global AI market will generate a staggering revenue of around $3000 billion, compared to $126 billion in 2015. However, tech leaders are now warning us about the various risks of AI. These AI-backed developments are vulnerable due to many AI shortcomings that malicious agents can expose.

Responsible AI 231

Responsible AI AI AI AI Developer 231

Unite.AI

NOVEMBER 21, 2023

Training models have become more user-friendly, and the rise of open-source models has reduced resource requirements. Secondly, the development of tools that simplify AI interactions, such as automated prompt generation and vector databases for document retrieval, has made AI more approachable for a broader range of organizations.

Generative AI 227

Generative AI Data Analysis AI AI 227

Unite.AI

DECEMBER 13, 2023

AI transforms cybersecurity by boosting defense and offense. However, challenges include the rise of AI-driven attacks and privacy issues. Responsible AI use is crucial. The future involves human-AI collaboration to tackle evolving trends and threats in 2024.

AI 290

AI AI Responsible AI Explainability 290

IBM Journey to AI blog

JULY 27, 2023

According to IBM’s Institute of Business Value (IBV) , AI can contain contact center cases, enhancing customer experience by 70%. Additionally, AI can increase productivity in HR by 40% and in application modernization by 30%. One example of this is reducing labor burdens by automating ticket assistance through IT operations.

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Generative AI AI AI Chatbots 137

IBM Journey to AI blog

MARCH 4, 2024

Where do you harness gen AI vs. predictive AI vs. AI orchestration? For instance, when automating password change requests, do you need a 175 billion parameter public foundation model, a fine-tuned smaller model, or AI orchestration to call APIs? Operations Incidents occur, even in an AI-first world.

AI 245

AI AI Artificial Intelligence Artificial Intelligence 245

Marktechpost

APRIL 17, 2024

Sonnet is twice as fast as its predecessors, while Haiku is the fastest and most compact model available, offering cost-effective solutions without compromising performance. What sets these models apart is their advanced intelligence, demonstrating near-human responsiveness and improved accuracy over prior generations.

AI 83

AI AI AI Modeling Responsible AI 83

Unite.AI

MARCH 6, 2024

This moves towards open-source generative AI underlines Google's commitment to democratizing AI technology, allowing for wider application and innovation in the field. It also supports easy deployment options, including Vertex AI and Google Kubernetes Engine.

Generative AI 133

Generative AI Responsible AI Neural Network AI 133

ODSC - Open Data Science

FEBRUARY 12, 2024

It’s often hard to extract value from predictive models because they lack explainability and can be challenging to implement effectively. Augmented analytics — which automates more of the analytics journey through AI — can address conventional obstacles to make it easier to turn data into relevant, accurate and actionable insights.

Automation 98

Automation Data Science Explainability Data Scientist 98

IBM Journey to AI blog

FEBRUARY 28, 2024

More specifically, the recent launch of IBM watsonx.governance helps public sector teams automate and address these areas, enabling them to direct, manage and monitor their organization’s AI activities.

Generative AI 248

Generative AI AI AI Explainability 248

IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Metadata 179

Metadata Explainability Automation AI 179

Marktechpost

NOVEMBER 3, 2023

This generative AI-powered assistant offers two models tailored to specific enterprise use cases. The first, Watsonx Code Assistant for Red Hat Ansible Lightspeed, focuses on IT automation, providing recommendations for automating infrastructure and application deployment tasks. for AI model development, watsonx.

Automation 89

Automation Software Development AI AI 89

Unite.AI

JANUARY 17, 2024

Titled “2024 AI & ML Report: Evolution of Models & Solutions,” the survey conducted by Aporia points to a growing trend of hallucinations and biases within generative AI and large language models (LLMs), signaling a crucial challenge for an industry rapidly advancing towards maturity.

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Large Language Models Machine Learning ML AI 147

Unite.AI

JANUARY 1, 2024

Fast Business Procedures Over the next few years, Generative AI can cut SG&A (Selling, General, and Administrative) costs by 40%. Generative AI accelerates business process management by automating complex tasks, promoting innovation, and reducing manual workload. just a simple click away.

Generative AI 223

Generative AI AI AI Large Language Models 223

ODSC - Open Data Science

DECEMBER 1, 2023

Over the course of 3+ hours, you’ll learn How to take your machine learning model from experimentation to production How to automate your machine learning workflows by using GitHub Actions. You’ll explore the use of generative artificial intelligence (AI) models for natural language processing (NLP) in Azure Machine Learning.

Data Science 52

Data Science DevOps Large Language Models Machine Learning 52

ODSC - Open Data Science

OCTOBER 3, 2023

If you’re unfamiliar, a prompt engineer is a specialist who can do everything from designing to fine-tuning prompts for AI models, thus making them more efficient and accurate in generating human-like text. This role is pivotal in harnessing the full potential of large language models.

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Prompt Engineer Prompt Engineering Large Language Models AI Modeling 97

Aiiot Talk

AUGUST 9, 2023

A quick question for a coworker could take hours to get an email response. AI can reduce the need to ask coworkers questions by making it easier for WFH employees to find answers and assistance independently. ChatGPT and AI-powered search are great examples of this.

AI 130

AI AI ChatGPT Algorithm 130

Becoming Human

APRIL 19, 2024

In an era dominated by rapid technological progress, organizations across diverse industries are turning to AI consultants as indispensable guides in navigating the intricacies of machine learning and automation. Transparency and Explainability Transparency in AI systems is crucial for building trust among users and stakeholders.

AI 102

AI AI Responsible AI Artificial Intelligence 102

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.,

Artificial Intelligence 191

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 191

AI News

AUGUST 10, 2023

The University of Oxford’s project, bolstered by £640,000, seeks to expedite research into a foundational AI model for clinical risk prediction. Scheduled for later this year, the AI safety summit will provide a platform for international stakeholders to collaboratively address AI’s risks and opportunities.

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Robotics Big Data AI AI 152

ODSC - Open Data Science

AUGUST 29, 2023

Since OpenAI’s ChatGPT kicked down the door and brought large language models into the public imagination, being able to fully utilize these AI models has quickly become a much sought-after skill. With that said, companies are now realizing that to bring out the full potential of AI, prompt engineering is a must.

Prompt Engineer 98

Prompt Engineer Prompt Engineering Large Language Models Natural Language Processing 98

AWS Machine Learning Blog

APRIL 22, 2024

Set the right data foundations As a CEO aiming to use generative AI to achieve sustainability goals, remember that data is your differentiator. From an operational standpoint, you can embrace foundation model ops (FMOps) and large language model ops (LLMOps) to make sure your sustainability efforts are data-driven and scalable.

Generative AI 105

Generative AI ESG AI AI 105

ODSC - Open Data Science

FEBRUARY 22, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. million in savings compared to companies who don’t use AI breach response.

Data Science 52

Data Science Machine Learning AI AI 52

NVIDIA

JANUARY 11, 2024

AI Is Having an Impact Across Departments and Disciplines With 75% of survey respondents considering their organization’s AI capabilities to be industry leading or middle of the pack, financial services organizations are becoming more confident in their ability to build, deploy and extract value from AI implementations.

Large Language Models 135

Large Language Models Data Scientist Generative AI AI 135

ODSC - Open Data Science

DECEMBER 14, 2023

Administrative Automation Many IT departments have massive workloads. Eventually, an overabundance of responsibilities leads to poorer data center security. Since automation is one of AI’s primary functions, they can transfer their more tedious tasks to it. Even seasoned professionals are prone to the occasional slip-up.

Data Science 98

Data Science AI AI Machine Learning 98

AWS Machine Learning Blog

MAY 21, 2024

This blog post outlines various use cases where we’re using generative AI to address digital publishing challenges. We dive into the technical aspects of our implementation and explain our decision to choose Amazon Bedrock as our foundation model provider. and calculating a brand safety score. Why Amazon Bedrock?

Generative AI 102

Generative AI Automation Prompt Engineer Prompt Engineering 102

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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Generative AI Automation Data Platform Responsible AI 100

Pickl AI

APRIL 26, 2024

Let’s delve into some of the key benefits that AI brings to the table: Supercharged Efficiency Imagine a tireless worker that never complains or takes breaks. That’s the essence of AI’s power in automation. AI excels at handling repetitive tasks, freeing up human time and resources for more strategic endeavors.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Automation AI Developer 52

Marktechpost

MAY 2, 2024

Human-centricity, respect for democracy and human rights, environmental preservation, sustainable development, equality, non-discrimination, and innovation are the guiding principles of AI development in Brazil. The law also supports consumer protection, fair competition, and free entrepreneurship.

Artificial Intelligence 142

Artificial Intelligence Artificial Intelligence AI AI 142

LevelAI

FEBRUARY 23, 2024

Recent government announcements, such as the Executive Order on AI by President Biden in the U.S. and the introduction of new guidelines for developing secure AI systems by the U.K., and partners from 16 other countries, signify a global movement towards more secure and ethically responsible AI technologies.

Responsible AI 52

Responsible AI AI AI Artificial Intelligence 52

AWS Machine Learning Blog

MAY 9, 2024

Governance Establish governance that enables the organization to scale value delivery from AI/ML initiatives while managing risk, compliance, and security. Additionally, pay special attention to the changing nature of the risk and cost that is associated with the development as well as the scaling of AI.

ML 99

ML Generative AI AI AI 99

AWS Machine Learning Blog

AUGUST 4, 2023

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. With Einstein Studio, a gateway to AI tools on the data platform, admins and data scientists can effortlessly create models with a few clicks or using code.

Data Scientist 71

Data Scientist ML ETL AI 71

ODSC - Open Data Science

AUGUST 10, 2023

Why Silicon Valley is the Go-To Place for Artificial Intelligence Whether it’s through innovation or raising capital, the Silicon Valley AI scene is where it’s at if you want to follow artificial intelligence developments.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Large Language Models 52