14 Best Presentations On Artificial Intelligence And Machine Learning
Google Launches A Healthcare-Focused LLM
FILE - The Google app icon is seen on a smartphone, Tuesday, Feb. 28, 2023, in Marple Township, Pa. ... [+] Google, on Thursday, Sept. 7, will soon require political advertising that incorporates artificial intelligence come with a prominent disclosure that the technology is being used to depict real or realistic-looking people or events. The use of AI has already begun to seep into that space and last month Federal Election Committee said that it may soon regulate AI-generated deepfakes in political ads ahead of the 2024 election.(AP Photo/Matt Slocum, File)
Copyright 2023 The Associated Press. All rights reservedGoogle has unveiled MedLM, a collection of foundation models tailored for the healthcare industry, making it available to selected Google Cloud customers in the United States via the Vertex AI platform.
Currently, under MedLM, two models are built on Med-PaLM 2. The first MedLM model, larger in size, is designed for complex tasks. The second model, of medium size, is adaptable for fine-tuning and excels in scaling across tasks.
Major tech vendors continuously compete to upgrade their AI platforms with regular enhancements, as projections show the global healthcare AI market will reach nearly 188 billion U.S. Dollars by 2030.
Battle of AmbientOver the past several months, Google and HCA Healthcare have collaborated to pilot a solution at four emergency department hospital sites. This initiative assists physicians with their medical notes by implementing the Augmedix app on a hands-free device. The app enables physicians to create accurate and timely medical notes directly from clinician-patient conversations. The Augmedix platform employs natural language processing and Google Cloud's MedLM on Vertex AI to instantly transform conversation data into draft medical notes. Physicians subsequently review and finalize these drafts, ensuring accuracy before real-time transfer to the hospital's electronic health record (EHR).
Other prominent tech vendors are also playing in the ambient space. AWS offers HealthScribe, a tool that analyzes consultation conversations to create summarized clinical notes for sections like a chief complaint, history of present illness, assessment, and treatment plan. Organizations can then integrate these summaries into clinical applications, aiding clinicians and medical scribes in efficiently recapping the highlights of patient visits. Companies utilizing AWS Healthscribe are 3M Health Information Systems, NetSmart, Suki, and Teletracking.
Microsoft provides the Nuance Dragon Ambient eXperience (DAX), which also captures clinician-patient conversations, translates them into notes using ChatGPT-4, and integrates them into EHRs. Microsoft has partnered with Epic to develop and integrate generative AI into Epic's EHRs.
Other Use CasesBenchSci, Accenture, and Deloitte use MedLM in their product and service offerings. BenchSci integrates MedLM into its ASCEND platform, accelerating drug development and enhancing the quality of pre-clinical research.
Accenture offers Solutions.AI, which can interpret structured and unstructured data from multiple sources to automate manual processes that were previously time-consuming and prone to error.
Deloitte collaborates with MedLM to improve the insurance member experience and reduce the friction in finding care. They achieve this through an interactive chatbot that assists health plan members in better understanding the provider options covered by their insurance plans.
In conclusion, the healthcare sector is optimistic about employing generative AI to tackle burnout and enhance efficiencies. Big tech companies are rapidly advancing their AI offerings, and the critical factor will be the speed at which these companies achieve widespread adoption of their platforms.
Google Brings AI Agent Platform Project Oscar Open Source
Google has made a significant announcement in the realm of artificial intelligence (AI) by releasing its AI agent platform, Project Ocean, open source. This move is expected to have a significant impact on the development of AI-powered applications and services across various industries.
Project Ocean is a cloud-based platform that allows developers to build, deploy, and manage AI models easily and efficiently. It is designed to simplify the process of creating and integrating AI models into applications, making it more accessible to developers and organizations of all sizes.
The platform uses a combination of machine learning (ML) and natural language processing (NLP) technologies to enable developers to build AI-powered chatbots, voice assistants, and other conversational interfaces. With Project Ocean, developers can create highly personalized and interactive experiences for users, improving the overall user experience and driving business growth.
By releasing Project Ocean as open source, Google is empowering developers to modify and customize the platform to meet their specific needs. This move is expected to accelerate the development of AI-powered applications and services, as well as foster innovation and collaboration within the AI community.
"We're excited to bring Project Ocean to the open source community, and we believe it will help accelerate the development of AI-powered applications and services," said Tan May-Ann, a Google engineer and the lead developer of Project Ocean. "By making the platform open source, we're enabling developers to build on top of our research and innovations, and to contribute to the development of the platform themselves."
Project Ocean is built on top of Google's Cloud AI Platform, which provides a suite of AI-powered services and tools, including Cloud AI, Cloud Vision, and Cloud Natural Language. The platform is designed to be scalable and secure, with built-in support for data encryption and auditing.
The open source release of Project Ocean is expected to have a significant impact on various industries, including customer service, healthcare, finance, and e-commerce. By providing developers with a platform to build AI-powered applications, Google is empowering organizations to improve customer engagement, streamline operations, and drive business growth.
"Open sourcing Project Ocean is a significant milestone in our journey to make AI more accessible and usable for everyone," said Kaveh Sabr, a researcher at Google. "We're excited to see the innovative applications that our developers will build using this platform, and we're committed to working with the open source community to ensure that Project Ocean continues to evolve and improve."
The open source release of Project Ocean is a testament to Google's commitment to advancing AI research and development. The company has a long history of investing in AI research and innovation, and has made significant contributions to the development of AI-powered technologies.
With the release of Project Ocean, Google is opening up new opportunities for developers and organizations to build innovative AI-powered applications and services. As the platform continues to evolve and improve, it is expected to have a significant impact on the future of AI development and innovation.
What Companies Are Fueling The Progress In Natural Language Processing? Moving This Branch Of AI Past Translators And Speech-To-Text
AFP via Getty Images Key takeawaysChatbots have exploded in popularity in recent months, and there's a growing buzz surrounding the field of artificial intelligence and its various subsets. Natural language processing (NLP) is the subset of artificial intelligence (AI) that uses machine learning technology to allow computers to comprehend human language.
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Natural language processing applications have moved beyond basic translators and speech-to-text with the emergence of ChatGPT and other powerful tools. We will look at this branch of AI and the companies fueling the recent progress in this area.
What's natural language processing all about?Natural language processing (NLP) is a subset of artificial intelligence (AI) that uses linguistics, machine learning, deep learning and coding to make human language comprehensible for machines. Natural language processing is a computer process enabling machines to understand and respond to text or voice inputs. The goal is for the machine to respond with text or voice as a human would.
The long-term objective of NLP is to help computers understand sentiment and intent so that we can move beyond basic language translators. This subset of AI focuses on interactive voice responses, text analytics, speech analytics and pattern and image recognition. One of the most popular uses right now is the text analytics segment since companies globally use this to improve customer service by analyzing consumer inputs.
The potential for NLP is formidable. According to Fortune Business Insights, the global market size for natural language processing could reach $161.81 billion by 2029. Market research conducted by IBM in 2021 showed that about half of businesses were utilizing NLP applications, many of which were in customer service.
How are businesses using NLP to improve operations?The primary benefit of NLP solutions for businesses is to use automation to cut costs and improve business operations to maximize productivity and profitability. Here are a few ways that NLP is being utilized right now by businesses globally:
You may be using NLP services daily without even noticing it. We enjoy more and more of these technological benefits as they advance. Here are some common examples of NLP:
We also can't ignore the role of AI and NLP in everyday services like streaming platforms and e-commerce websites (Amazon), where it feels like our results are customized by someone who knows us.
What companies are fueling the progress in natural language processing?While almost every business has to use some form of NLP and AI in its operations, some companies are fueling the recent progress in these technologies. Here are five companies in this space to keep an eye on.
MicrosoftMicrosoft has been making headlines lately since the company reportedly invested $10 billion in OpenAI, the startup behind DALL-E 2 and ChatGPT. These two tools alone have changed the entire landscape of AI and NLP innovations as the improvements bring this technology to the general public in new, exciting ways.
Microsoft Azure is the exclusive cloud provider for ChatGPT, and this platform also offers many services related to NLP. Some services include sentiment analysis, text classification, text summarization and entailment services.
IBMWhile IBM has generally been at the forefront of AI advancements, the company also offers specific NLP services. IBM allows you to build applications and solutions that use NLP to improve business operations.
One of the revenue streams for the company is the IBM Watson Natural Language Understanding service which uses deep learning to derive meaning from unstructured text data. On the Watson website, IBM touts that users have seen a 383% ROI over three years and that companies can increase productivity by 50% by reducing their time on information-gathering tasks.
AmazonThe significance of AI and NLP is felt at almost every level of Amazon's business. You may have used the Alexa device to put on your favorite song or found the perfect product on the e-commerce platform based on a recommendation. These are AI and NLP in action.
Amazon also offers Amazon Web Services (AWS) for cloud storage so businesses can complete their digital transformations. They also have Amazon Comprehend, an NLP service that uses machine learning to determine text's significance. The Comprehend service also offers sentiment analysis and custom segmentation so customers can add NLP to their apps.
LemonadeWhen discussing AI, you can't forget about the first insurance company fully Google
Even though Alphabet, the parent company of Google, recently revealed that it would be cutting 12,000 employees worldwide, they're also planning on launching 20 new products. Google has already offered a small sample group an exclusive look at a tool that will eventually be a competitor to ChatGPT, known as Bard. This chatbot is
The biggest issue for Google is that they want to offer an AI-powered chatbot that's safe, tackles misinformation, and shares factually accurate information. Google has been investing heavily in AI, and it's no secret that management wants to bring the company back to the forefront of this field. You can see Google utilizing NLP technology in every aspect of its business, including spam filters, predictive text when writing emails, search engines and translation tools.
How can you invest in NLP and AI?If you're a proponent of machine learning, there are many different ways to invest in AI and related technologies. There aren't companies that only focus on AI in the same way that Tesla focuses on EVs or Nike focuses on athletic wear because every successful business relies on some form of AI. You can, however, invest in major tech companies since they're becoming increasingly invested in AI. With Amazon relying on AI on everything from the Alexa device to powering the warehouses, this is one company that's all in.
OpenAI is projected to generate $1 billion in revenue in 2024. While you can't invest directly in OpenAI since they're a startup, you can invest in Microsoft or Nvidia. Microsoft's Azure will be the exclusive cloud provider for the startup, and most AI-based tools will rely on Nvidia for processing capabilities. In recent weeks, shares of Nvidia have shot up as the stock has been a favorite of investors looking to capitalize on this field.
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The bottom lineNatural language processing and artificial intelligence are changing how businesses operate and impacting our daily lives. Significant advancements will continue with NLP using computational linguistics and machine learning to help machines process human language. As businesses worldwide continue to take advantage of NLP technology, the expectation is that they will improve productivity and profitability.
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