Amazon Launches Bedrock For Generative AI, Escalating AI Cloud Wars
Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. Learn More
Yesterday Amazon launched Bedrock for generative AI, a landscape-shaking move that also escalated the cloud AI wars that have been heating up over the past year.
Bedrock, a new AWS cloud service, allows developers to build and scale generative AI chatbots and other applications in the cloud, using internal organizational data to fine-tune on a variety of leading pretrained large language models (LLMs) from Anthropic, AI21 and Stability AI, as well as two new LLMs in Amazon's Titan model family.
Amazon CEO Andy Jassy spoke directly about the AWS focus on enterprise AI with Bedrock when speaking to CNBC's Squawk Box yesterday.
"Most companies want to use these large language models, but the really good ones take billions of dollars to train and many years, and most companies don't want to go through that," he said. "So what they want to do is they want to work off of a foundational model that's big and great already and then have the ability to customize it for their own purposes. And that's what Bedrock is."
EventTransform 2023
Join us in San Francisco on July 11-12, where top executives will share how they have integrated and optimized AI investments for success and avoided common pitfalls.
Register NowAccording to Gartner analyst Sid Nag, with the buzz and excitement around generative AI news from Google and Microsoft, Amazon was overdue to follow suit.
"Amazon had to do something," he told VentureBeat in an interview. "The cloud providers are obviously best suited to handle data-heavy generative AI, because they are the ones that have these hyperscale cloud computing storage offerings."
Bedrock, he explained, provides a meta layer of usability for foundation models on AWS. Amazon is also notably calling out its ability to provide a secure environment for organizations to use this type of AI, he added. "Organizations want to create their own walled garden in a generative AI model, so I think you'll see more and more of that," he said.
In addition, Amazon's Code Whisperer announcement, which is a AI-driven coding companion that uses an LLM under the hood and supports Python, Java, JavaScript and other languages, is also a key effort to make sure AWS competes in cloud AI, Nag said.
Bedrock's multiple models makes Amazon's AWS attractiveEmad Mostaque, CEO of Stability AI, pointed out that Bedrock's offering of multiple models including Stable Diffusion plays to Amazon's history of focusing on choice. "In his original plan to $100 billion of revenue, Jeff Bezos envisioned that half that revenue would be Amazon products and half third party through their marketplace," he told VentureBeat in a message.
While it may have been surprising that Cohere was not on the list of Bedrock models — it is available on SageMaker and AWS — Cohere CEO Aidan Gomez said the company decided not to participate in the Bedrock product at this time. "We may change our opinion and join the 'model zoo' in the future, but we decided not to be a part of this initial release," he told VentureBeat by email.
But Yoav Shoham, cofounder and co-CEO of AI21 Labs, focused on the fact that AWS has curated a set of best-in-class models. "There is a class of text-based applications particularly well served by Jurassic-2's multilingual, multisized models," he told VentureBeat by email. "We look forward to enabling, jointly with AWS, the creation of many such applications."
Low-code platform Pega was noted in AWS VP Swami Sivasubramanian's blog post yesterday as one of Bedrock's early adoptors. Peter van der Putten, director of the AI lab at Pega, said the company intends to use Bedrock for a range of use cases in their platform, which they will make available to its customers.
"For example, just based on a simple sentence such as 'create a dental insurance claim application,' we can generate a runnable prototype low-code app including workflow, data models and other artifacts, which will jumpstart, democratize and accelerate development of low-code business applications," he said. "There are also other areas in our low-code platform where we leverage it, such as allowing users to ask for reports just using natural language."
The desire for multicloud will keep the cloud AI competition goingWhat makes Amazon very attractive for Pega and its customers, he added, is Bedrock's access to a wide range of models, commercial as well as open source, in "a safe, enterprise-scale manner," he said. But he also called out the importance of multicloud options: "In addition to this, our clients will also be able to access OpenAI models through Azure, and we are in discussion with other major cloud players as well, plus keeping a close eye on open source, for the most sensitive applications."
That, says Gartner's Nag, is the irony of the cloud AI wars.
"The fundamental premise of building a generative AI model is democratization of data — the more information you have, the higher the fidelity of the response," he said. "But the whole philosophy and approach that cloud providers have historically taken is 'I should own everything, everything should run in my estate.' So on the one hand, they want to be very predatory, but on the other hand, are they willing to share data across multiple estates?"
VentureBeat's mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings.
Amazon Joins Generative AI Fervor With New App-building Tool And Large Language Models
The company's new Bedrock service – currently being rolled out in a "limited preview" – will help brands to enhance their own software and content using AI-generated text and images.
Amazon has become the latest big tech company to stake its claim in the rapidly growing generative AI industry.
In a company blog post published this morning, Amazon Web Services (AWS) vice-president of data and machine learning Swami Sivasubramanian introduced Amazon Bedrock, a new service that enables AWS customers to develop their own apps using generative AI. The company has also announced the release of two new large language models (LLMs).
Through Amazon Bedrock, software developers can leverage LLMs – Sivasubramanian refers to them as foundation models, or FMs – from tech companies AI21 Labs and Anthropic, as well as a text-to-image model from Stability AI, the company behind a popular text-to-image model called Stable Diffusion.
Sivasubramanian claims that Bedrock makes it "easy" for AWS customers to create their own customized content, invoking the imaginary example of "a content marketing manager who works at a leading fashion retailer and needs to develop fresh, targeted ad and campaign copy for an upcoming new line of handbags." All that a content marketing manager needs to do, he said, is prompt the system with "a few labeled examples of their best-performing taglines from past campaigns, along with the associated product descriptions, and Bedrock will automatically start generating effective social media, display ad and web copy for the new handbags."
Bedrock is currently being launched for "limited preview" according to the blog post, which added that Deloitte, Accenture and Linksys will be among the first brands to integrate the new system.
Amazon also announced this morning the launch of two new LLMs, both of which the company is referring to as Titan. One model generates text while the other is designed for embeddings (a process used in natural language processing that converts text into numbers).
"We have been previewing Amazon's new Titan FMs with a few customers before we make them available more broadly in the coming months," Sivasubramanian wrote.
Amazon and AI: past, present and futureSivasubramanian framed this morning's announcement in a flush of enthusiasm for generative AI, a branch of artificial intelligence that leverages deep learning to create text, video, images, code and other forms of content from user inputs, such as text-based prompts.
"We are truly at an exciting inflection point in the widespread adoption of [machine learning]," he wrote, "and we believe most customer experiences and applications will be reinvented with generative AI."
The field of generative AI has become a cultural phenomenon and a media lightning rod since the launch of OpenAI's ChatGPT in November. The model rapidly became the most popular consumer product in history, reportedly reaching the landmark of 100 million monthly active users in January.
According to Sivasubramanian, while Amazon might not be the first tech company that comes to mind for most people when they think of AI and machine learning (ML), it has nevertheless been a pioneering force in the field for some time. "AI and ML have been a focus for Amazon for over 20 years and many of the capabilities customers use with Amazon are driven by ML." He notes that ML powers some of Amazon's most popular products and services, including its e-commerce platform, Prime Air, Amazon Go and, of course, Alexa. He calls ML a big part of Amazon's "heritage, current ethos and future."
This morning's announcement also underscored Amazon's commitment to empowering brands of all shapes and sizes to be able to harness the power of generative AI. "At AWS, we have played a key role in democratizing ML and making it accessible to anyone who wants to use it. We take the same democratizing approach to generative AI: we work to take these technologies out of the realm of research and experiments and extend their availability far beyond a handful of startups and large, well-funded tech companies."
The race for AI supremacyAs the world swoons (and sometimes frets) over the capabilities of powerful new LLMs such as GPT-4, AI has become the apple of almost every tech giant's eye in recent months.
In early February, Microsoft announced a handful of AI-powered upgrades – using technology from OpenAI – to its Bing and Edge platforms. At around the same time, Google launched Bard, its own AI-powered chatbot (the public debut of which revealed some technical issues with the model). Snap jumped on the bandwagon later that month with a chatbot called My AI, then Meta announced the launch of two new AI-powered brand suitability features in March. Chinese tech giant Alibaba unveiled its own generative AI model earlier this week. You get the idea.
A report from Grand View Research published in December estimated that the global generative AI market will reach a value of $109.37bn by 2030.
This morning's announcement from Amazon reads a bit like a declaration of the company's entrance into the race among leading tech companies to establish positions of power and influence in the burgeoning generative AI industry. But Sivasubramanian also seems to suggest that Amazon will approach this race with the strategy of the proverbial tortoise, taking care not to rush: "The potential of FMs is incredibly exciting. But, we are still in the very early days."
For more on the latest happening in AI, web3 and other cutting-edge technologies, sign up for The Emerging Tech Briefing newsletter.
Natural Language Generation Technology Market Outlook And Forecast To 2030MS Azure, IBM Watson, Amazon Polly, Wordsmith
The MarketWatch News Department was not involved in the creation of this content.
Apr 14, 2023 (Heraldkeepers) -- The Natural Language Generation Technology Market research studies not only save you hours of effort but also give your work legitimacy, whether you're updating your business strategy, putting together a presentation for a big client, or giving advice to a senior executive. Natural Language Generation Technology Market Report presents a comprehensive analysis of all the regional and major player segments that gives closer insights upon present market conditions and future market opportunities along with drivers, trending segments, consumer behavior, pricing factors and market performance and estimation.
Get a Free Sample Copy of This Report:
https://www.Infinitybusinessinsights.Com/request_sample.Php?Id=861426&mode=S09
Top Companies in the Global Natural Language Generation Technology Market: MS Azure, IBM Watson, Amazon Polly, Wordsmith, Quill, AX Semantics, Readspeaker, Arria, Yseop, Textengine.Io, VentureRadar, CHI Software
Global Natural Language Generation Technology Market Types:
Semantic Data
Image Data
On the basis of Application, the Global Natural Language Generation Technology Market is segmented into:
Medical Industry
National Defense
Electronic Industry
Telecommunications Industry
Natural Language Generation Technology Market Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia, and New Zealand, etc.
SPECIAL OFFER: AVAIL UP TO 30% DISCOUNT ON THIS REPORT:
https://www.Infinitybusinessinsights.Com/checkout?Id=861426&discount=20&mode=S09
Natural Language Generation Technology Market research companies are increasingly using cutting-edge research technologies, such eye-tracking technology, to gather customer insights. Businesses that offer marketing research and analysis services are increasingly putting an emphasis on the emotional bond that consumers have with products. Neuromarketing technologies like emotion assessment, eye tracking, and other implicit priming experiments are being used by Natural Language Generation Technology market researchers to collect and assess data on consumers and unconscious brain responses. Without bias or errors, eye-tracking technology is excellent for gauging consumer reactions to products.
The Report Scope: –
– The IBI advises market research service providers to concentrate on adopting cutting-edge technology, agile Natural Language Generation Technology market research for quicker insights, experiential research tools, virtual reality technology, automation in marketing research and analysis, expansion in developed markets, competitive pricing, penetration pricing, reviews, and increased visibility in order to take advantage of these opportunities.
– Key Report Highlights and Important Features that are Under the Offering.
A business plan is a brief document that details the methods and motivations behind the founding of a new business.
– New business ventures must create formal written documents defining their long-term objectives and the resources needed to attain those objectives.
– Business plans can help existing companies better manage their suppliers or internal operations.
The Market Report Impact: –
Additionally, prospective investors go into company plans to gauge how exposed to risk a particular entrepreneurial venture is. Business plans are used by startups to support claims made about the potential profitability of a particular business idea while seeking workers and investors.
Main Objective of the Report
An increased focus on customer satisfaction and experience surveys will be beneficial for the Natural Language Generation Technology market for market research services. As competition grows, businesses are being compelled to come up with innovative tactics to keep and draw in clients. In order to provide high-quality products or services, many organizations continuously solicit customer input in order to attain this goal.
Read the detailed index of the full Natural Language Generation Technology Market research study at@
https://www.Infinitybusinessinsights.Com/reports/global-natural-language-generation-technology-market-2022-by-company-regions-type-and-application-forecast-to-2028-861426?Mode=S09
– Analysis of market segments
Businesses (organizations, sole proprietorships, and partnerships) that plan, create, build, and manage operations for studying and analyzing Natural Language Generation Technology markets based on the demands of the end user make up the market research services industry. Organizations that conduct market research engage in processes where human capital is the main input. They make available the knowledge and skills of their personnel, frequently on an assignment basis, where a person or group is in charge of providing services to the client. Market research companies provide data, data analysis, and consumer analysis depending on the demands of the end user through primary and secondary research. Businesses that conduct Natural Language Generation Technology market research offer both standard goods like general market studies and statistics on Natural Language Generation Technology market sizing and customized goods.
Previous Content:
Natural Language Generation Technology Market research studies not only save you many hours of effort but also give your work legitimacy whether you're updating your business strategy, putting together a presentation for a key client, or giving advice to a senior executive
Table of Contents:-
Chapter 1 : Natural Language Generation Technology Market Overview
Chapter 2 : Company Profiles
Chapter 3 : Natural Language Generation Technology Competition, by Players
Chapter 4 : Natural Language Generation Technology market Size Segment by Type
Chapter 5 : Natural Language Generation Technology Market Size Segment by Application
Chapter 6 : North America by Country, by Type, and by Application
Chapter 7 : Europe by Country, by Type, and by Application
Chapter 8 : Asia-Pacific by Region, by Type, and by Application
Chapter 9 : South America by Country, by Type, and by Application
Chapter 10 : Middle East & Africa by Country, by Type, and by Application
Chapter 11 : Research Findings and Conclusion
Chapter 12 : Appendix
FAQs:
What will be the Natural Language Generation Technology market growth rate, growth velocity or acceleration of the market during the forecast period?
What are the major factors affecting the Natural Language Generation Technology market?
How big will the emerging market be in 2030?
What is the expected market share for each region?
What trends, challenges and barriers will impact the market expansion and size? What are the sales, revenue and price analyses of the major manufacturers in the Natural Language Generation Technology market?
What opportunities and dangers do vendors face in this area in the market?
ABOUT US
Infinity Business Insights is a market research company that offers market and business research intelligence all around the world. We are specialized in offering services in various industry verticals to recognize their highest-value chance, address their most analytical challenges, and alter their work.
Contact Us:
Amit Jain (Sales Coordinator)
Phone no- +1 518 300 3575 / +1 929 251 4718
Email: [email protected]
Website: https://www.Infinitybusinessinsights.Com
COMTEX_429297605/2582/2023-04-14T03:14:39
Is there a problem with this press release? Contact the source provider Comtex at [email protected]. You can also contact MarketWatch Customer Service via our Customer Center.
The MarketWatch News Department was not involved in the creation of this content.
