April, 2024

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How to Transition your Career from Non Tech Field to Generative AI?

Analytics Vidhya

Introduction In today’s rapidly evolving world, the term ‘Generative AI’ is on everyone’s lips. Studies reveal that Generative AI is becoming indispensable in the workplace, with the market projected to reach $1.3 trillion by 2032. If you’ve been considering a career transition from a non-tech field to Generative AI, now is the time!

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Introducing Universal-1

AssemblyAI

Today, AssemblyAI is launching Universal-1 ,  our most capable and highly trained speech recognition model. Trained on over 12.5 million hours of multilingual audio data, Universal-1 achieves best-in-class speech-to-text accuracy, reduces word error rate and hallucinations, improves timestamp estimation, and helps us continue to raise the bar as the industry-leading Speech AI provider.

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The Current State of AI in Marketing 2024

Unite.AI

The use of AI in marketing has changed how businesses communicate with clients. It provides personalized client experiences and can automate repetitive tasks. According to a McKinsey study , around 75% of the value AI use cases could deliver falls across four areas, and marketing is one of these. The Artificial Intelligence (AI) in marketing size is expected to reach $145.42 billion by 2032.

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SAS aims to make AI accessible regardless of skill set with packaged AI models

AI News

SAS, a specialist in data and AI solutions, has unveiled what it describes as a “game-changing approach” for organisations to tackle business challenges head-on. Introducing lightweight, industry-specific AI models for individual licence, SAS hopes to equip organisations with readily deployable AI technology to productionise real-world use cases with unparalleled efficiency.

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Usage-Based Monetization Musts: A Roadmap For Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Journey to AI blog

AI can be a force for good, but it might also lead to environmental and sustainability concerns. IBM is dedicated to the responsible development and deployment of this technology, which can enable our clients to meet their sustainability goals. “AI is an unbelievable opportunity to address some of the world’s most pressing challenges in health care, manufacturing, climate change and more,” said Christina Shim, IBM’s global head of Sustainability Software and an AI Ethics

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More Trending

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Elon Musk Predicts AI will be Smarter than Humans by Next Year

Analytics Vidhya

Elon Musk has been making headlines again! During a recent interview on X Spaces (his platform for discussing all things space and beyond), the he dropped a prediction about Artificial General Intelligence (AGI). Musk claims AGI could be surpassing human intelligence within the next two years! Master of Making Bold Statements Musk has a history […] The post Elon Musk Predicts AI will be Smarter than Humans by Next Year appeared first on Analytics Vidhya.

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Wide Open: NVIDIA Accelerates Inference on Meta Llama 3   

NVIDIA

NVIDIA today announced optimizations across all its platforms to accelerate Meta Llama 3 , the latest generation of the large language model ( LLM ). The open model combined with NVIDIA accelerated computing equips developers, researchers and businesses to innovate responsibly across a wide variety of applications. Trained on NVIDIA AI Meta engineers trained Llama 3 on a computer cluster packing 24,576 NVIDIA H100 Tensor Core GPUs , linked with an NVIDIA Quantum-2 InfiniBand network.

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Google Faces Significant Challenges and Competition as It Considers Charging for AI Search

Unite.AI

For years, Google has dominated the online search market, with its search engine serving as the primary tool for billions of users seeking information on the web. However, the rise of AI-powered search competitors and Chatbots, such as OpenAI's ChatGPT and Perplexity AI , has begun to pose a significant threat to Google's long-standing supremacy. These emerging platforms leverage advanced natural language processing (NLP) and machine learning technologies to provide users with more sophisticated

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OpenAI chooses Tokyo for its first Asian office

AI News

OpenAI has announced the opening of a new office in Tokyo to drive its expansion into the Asian market. The new office aims to foster collaboration with the Japanese government, local businesses, and research institutions to develop AI tools tailored to Japan’s unique requirements. Tokyo was selected for OpenAI’s first Asian venture due to its global leadership in technology, a culture dedicated to service, and an innovative community. “We’re excited to be in Japan which

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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The journey to a mature asset management system

IBM Journey to AI blog

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Earlier posts in this series addressed the challenges of the energy transition with holistic grid asset management, the integrated asset management platform and data exchange, and merging traditional top-down and bottom-up planning processes.

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The Ultimate Guide to Vector Databases: Use Cases and Industry Impact

Marktechpost

In the data management and retrieval landscape, vector databases have emerged as a revolutionary force, transforming how businesses and tech enthusiasts harness the power of complex, high-dimensional data. Let’s delve into the intricacies of vector databases, shedding light on their real-world applications and their profound impact on various industries.

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Vidu is Sora’s Latest Competition in AI Video Generation

Analytics Vidhya

A novel text-to-video AI model, named Vidu, has made its debut at the 2024 Zhongguancun Forum in Beijing. Developed jointly by ShengShu-AI and Tsinghua University, this new model challenges the dominance of OpenAI’s Sora. Let’s explore the features of Vidu and find out what it means for generative AI technologies in China. Also Read: Sora’s […] The post Vidu is Sora’s Latest Competition in AI Video Generation appeared first on Analytics Vidhya.

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Nvidia to Acquire Run:AI

NVIDIA

To help customers make more efficient use of their AI computing resources, NVIDIA today announced it has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. Customer AI deployments are becoming increasingly complex, with workloads distributed across cloud, edge and on-premises data center infrastructure.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Arlington, VA: Emerging as a New Powerhouse in AI Innovation

Unite.AI

Arlington, VA, traditionally known for its strategic importance in government and defense, is rapidly transforming into a thriving hub for artificial intelligence (AI) innovation. This shift is propelled by a unique confluence of federal agencies, industry leaders, and a burgeoning tech ecosystem. The Washington D.C. metro area, including Arlington, now leads the nation in AI-related job postings , underscoring the region's emergence as a critical player in the tech sector.

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OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Machine Learning Research at Apple

The reproducibility and transparency of large language models are crucial for advancing open research, ensuring the trustworthiness of results, and enabling investigations into data and model biases, as well as potential risks. To this end, we release OpenELM, a state-of-the-art open language model. OpenELM uses a layer-wise scaling strategy to efficiently allocate parameters within each layer of the transformer model, leading to enhanced accuracy.

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4 ways generative AI addresses manufacturing challenges

IBM Journey to AI blog

The manufacturing industry is in an unenviable position. Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. At the same time, there is this huge sustainability and energy transition wave.

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Llama-3-based OpenBioLLM-Llama3-70B and 8B: Outperforming GPT-4, Gemini, Meditron-70B, Med-PaLM-1 and Med-PaLM-2 in Medical-Domain

Marktechpost

With the significant development in the rapidly developing field of Artificial Intelligence driven healthcare, a team of researchers has introduced OpenBioLLM-Llama3-70B & 8B models. These state-of-the-art Large Language Models (LLMs) have the potential to completely transform medical natural language processing (NLP) by establishing new standards for functionality and performance in the biomedical field.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Top 40 Python Libraries for AI, ML and Data Science

Analytics Vidhya

Introduction Python is the magic key to building adaptable machines! Known for its beginner-friendliness, you can dive into AI without complex code. Python’s superpower? A massive community with libraries for machine learning, sleek app development, data analysis, cybersecurity, and more. This flexible language has you covered for all things AI and beyond.

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Small and Mighty: NVIDIA Accelerates Microsoft’s Open Phi-3 Mini Language Models

NVIDIA

NVIDIA announced today its acceleration of Microsoft’s new Phi-3 Mini open language model with NVIDIA TensorRT-LLM , an open-source library for optimizing large language model inference when running on NVIDIA GPUs from PC to cloud. Phi-3 Mini packs the capability of 10x larger models and is licensed for both research and broad commercial usage, advancing Phi-2 from its research-only roots.

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Planning your solar eclipse journey with network analytics

SAS Software

Authors: Steven Harenberg and Amy Becker The total solar eclipse taking place across a thin band of the United States on April 8, 2024, is going to be a stellar event. In this post, we will help plan a journey to see the total solar eclipse. We will use algorithms [.] The post Planning your solar eclipse journey with network analytics appeared first on SAS Blogs.

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AI-Powered Contend Offers Affordable Legal Advice + Letter Drafting

Artificial Lawyer

For many years there have been efforts to create an easy to use, reliable and affordable legal AI system that will give people advice and even draft documents for them.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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The advantages and disadvantages of private cloud 

IBM Journey to AI blog

The popularity of private cloud is growing, primarily driven by the need for greater data security. Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs. In a report from Technavio (link resides outside ibm.com), the private cloud services market size is estimated to grow at a CAGR of 26.71% between 2023 and 2028,

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Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability

Marktechpost

The transformer model has emerged as a cornerstone technology in AI, revolutionizing tasks such as language processing and machine translation. These models allocate computational resources uniformly across input sequences, a method that, while straightforward, overlooks the nuanced variability in the computational demands of different parts of the data.

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How to Run Llama 3 Locally?

Analytics Vidhya

Introduction Discover the latest milestone in AI language models with Meta’s Llama 3 family. From advancements like increased vocabulary sizes to practical implementations using open-source tools, this article dives into the technical details and benchmarks of Llama 3. Learn how to deploy and run these models locally, unlocking their potential within consumer hardware.

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Start Up Your Engines: NVIDIA and Google Cloud Collaborate to Accelerate AI Development

NVIDIA

NVIDIA and Google Cloud have announced a new collaboration to help startups around the world accelerate the creation of generative AI applications and services. The announcement, made today at Google Cloud Next ‘24 in Las Vegas, brings together the NVIDIA Inception program for startups and the Google for Startups Cloud Program to widen access to cloud credits, go-to-market support and technical expertise to help startups deliver value to customers faster.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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A secure approach to generative AI with AWS

AWS Machine Learning Blog

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. Customers are building generative AI applications using large language models (LLMs) and other foundation models (FMs), which enhance customer experiences, transform operations, improve employee productivity, and create new revenue channels.

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The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs

Explosion

With the latest advancements in NLP and LLMs, and big companies like OpenAI dominating the space, many people wonder: Are we heading further into a black box era with larger and larger models, obscured behind APIs controlled by big tech monopolies?

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Maximize the power of your lines of defense against cyber-attacks with IBM Storage FlashSystem and IBM Storage Defender

IBM Journey to AI blog

Today, cybercrime is good business. It exists because the profits are high while the risks are low. Far from stopping, cybercrime is constantly increasing. In 2023, the FBI received a record number of 880,418 complaints with potential losses exceeding USD 12.5 billion. This is a nearly 10% increase in complaints and 22% increase in losses compared to 2022.