AI arms race: Making Science launches generative AI platform to outperform OpenAI and GPT-4

Once the network is trained, it can make decisions or predictions without being explicitly programmed to perform tasks. The online retailer said its new AI-powered feature will allow users to know what other customers are saying about a product, without having to read through many reviews. OpenAI’s ChatGPT has become the fastest application ever to reach 100 million users, and its customers are already integrating its technology for diverse tasks from creative writing to coding software. Even as the importance of generative AI technology rises to the top of the corporate agenda, however, firms may be blindsided to the risks, by the apparent opportunities. Meanwhile, 48% admitted to not having specific guidelines and/or policies put into effect yet for responsible AI. The first product in the portfolio, to be launched in Q2 2023, will pioneer the use of an AICI assistant that can be embedded within standard applications to support interactive decision-making for consumer businesses 24/7, and will leverage the OpenAI Large Language Model (LLM).

• In a briefing ahead of the release, LexisNexis’ chief product officer Jeff Pfiefer explained that the new solution has been built with an emphasis on privacy by design.
• By empowering patients to access self-care advice, it could help release millions of unnecessary NHS appointments, so that they can go to patients who need them the most.
• In April 2023, the UAE’s Artificial Intelligence (AI), Digital Economy, and Remote Work Applications Office launched a guide called ‘100 Practical Applications and Use Cases of Generative AI’, which aims to facilitate AI adoption across vital industries and accelerate research in the field.
• It announced last month that its July 2023 Social Good Startup Program cohort would concentrate on tech startups using generative AI to increase impact for companies and nonprofits focused on social responsibility.

LexisNexis today (4 May) announced the launch in beta of Lexis+ AI, which leverages generative AI to transform the way that users of its platform conduct research and draft resulting documents and communication with clients. Timing of the launch hopes to capitalise on research revealed by the UK Government that just 15% of UK businesses have adopted at least one AI technology, such as ChatGPT or Bard. ‘Trust Generative AI’, powered by Google Cloud Platform, is billed as solving two of the most significant challenges faced by users of systems like OpenAI – lack of first-party data and real-time information. The firm has been quick to adapt to the rise of generative AI technologies, helping it to assist clients with their adoption from the earliest possible moment.

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So, it clearly has confidence in Generative AI, although I note that it states that it “suggests root causes”. A blog from Blair Sibille on the same day provides a lot more detail on the Generative AI announcement. Sensibly, he goes into some detail to cover off concerns around security and data privacy as well as describing the rationale behind the move to Generative AI and diving a little more deeply into what it does. The Generative AI Centre has formulated guidelines that comprehensively consider various risks in the use of generative AI. In the future, based on industry trends, the company will continuously update the guidelines as well as set up consultation contact points for employees to respond to inquiries and questions that are difficult to cover in the guidelines.

Healthwords is an end-to-end solution for self-care, providing users with 24/7 access to fast personalised healthcare advice based on their individual needs. When users input their question or symptom into the conversational search function the generative AI technology will provide medically verified answers or advice, and then recommend self-care products if directed to do so. Users will also have the option to read more about their condition in full-length verified medical articles or chat online with a human pharmacist in real-time should they want a second opinion. The user can then choose to purchase self-care products and arrange for them to be delivered to their homes all through the single platform.

UK FinTech Bud Financial has launched a generative Al core platform to deliver hyper-personalised banking experiences. Naver also announced plans to develop a new AI chip with Samsung Electronics to support its AI development. South Korean online platform Naver launched a generative AI service on Thursday as a competitor to ChatGPT.

China Releases Draft Measures for Managing Generative AI Services

In recent months, the attention of the media, policymakers and the public has focused on the views of those who have created and launched Generative AI tools, including large US-based technology firms. This is understandable, given their insider perspective on the power and potential of this technology. Since its founding, Instabase’s platform has had a rich history of incorporating AI innovation into its design, including content digitization, neural networks, and, most recently, large language models. Hence, the latest innovations in large language models represent yet another step-function in the ability to approach unstructured data that we were able to quickly incorporate into our modular design once they were released. Large language models (LLMs) are capable of answering content-related questions without any fine-tuning, eliminating the need for laboriously annotating, training, or collecting training data.

And by informing every customer interaction with AI-driven insights and decisioning, brands can build more meaningful experiences for their customers. Merkle GenCX uses this capability to build data-based audiences and segmentation in minutes and glean business intelligence from natural language, all in real time. In today’s competitive environment, marketers need new ways to attract, convert, and retain high-value customers. genrative ai AI and machine learning (ML) models can help anticipate and act on future customer behavior, but effective, complex models require real-time data and data science expertise. The ICO has set out a series of data protection questions for developers to consider as they build and deploy these tools. One such organization, a leading global technology company, applied generative AI to enhance customer experience.

Amazon launches generative AI-powered customer review highlights

Yakov Livshits

The grant will support nonprofit organisations, social enterprises and academic institutions in training and empowering their workforces in the use of generative AI. Awardees of the grant will have access to Microsoft events, Azure-based cloud computing resources, and data training and technical guidance from Microsoft and GitHub experts. The tool promises to “fundamentally change the nature of software development” by providing AI-based coding suggestions, saving developers time and effort. What are the intellectual property implications for those who build or buy software created using Copilot? The models underlying popular generative AI tools such as ChatGPT, Bard and DALL-E are being trained on vast amounts of data sourced from the internet. The use of such data in the training of GPT and similar models therefore gives rise to intellectual property and data protection risks on a significantly augmented scale.

We’re teaming up with Paysafe for a deep dive into the regulatory developments in the #Crypto industry! Join Diego Ballon Ossio, Boika Deleva and Samuel Collins as they discuss practical implications arising from the Markets in Crypto-assets Regulation (MiCA), regulatory efforts in the UK, compliance challenges, and strategies for businesses to navigate the evolving regulatory landscape. When engaging in contract reviews or negotiations through Aavenir Contractflow, the novel clause deviation capabilities automatically identify variations in contract clauses against libraries of legally-approved clauses, repository contracts, and previous versions of contracts. Aavenir’s user-friendly interface succinctly presents alternate clauses along with deviation scores, enabling contract managers to seamlessly substitute highly deviating contract clauses with recommended best-fit alternatives. When paired with ServiceNow’s versatile workflow capabilities and Aavenir’s approval functionalities at the clause level, the handling of sets of deviating clauses across teams becomes remarkably streamlined. Designed to be transparent, flexible, easily deployable, and upgradeable and compliant with financial services regulations, the solution is currently in limited beta testing with premier partners, while interested parties can join the waitlist with wider availability coming in Q3’23.

This facility will further support users to manage their own health, improving and modernising access to care. NHS England has previously reported there are 18 million GP appointments and 2.1 million visits to A&E every year for conditions that could be dealt with at home, costing £850 million. By empowering patients across the UK with verified information that would genrative ai allow them to manage self-treatable conditions instead of going to a GP, millions of unnecessary NHS appointments could be released. Through the Healthwords platform, Clinova aims to effect this change and improve efficiency in the British healthcare system by relieving pressure on heavily burdened GPs and freeing up appointments for those who need them most.

The company has also been under pressure to announce its own generative AI offering after legal research rival Casetext launched GPT4-based legal assistant CoCounsel in March. Recent research suggests that North American companies have been quick to adopt new technologies such as generative AI, and believe they are already reaping the rewards. This could leave European companies missing out on opportunities worth $3 trillion over the next two years, if they cannot close this emerging technology gap. Bud, which was founded in 2015 and was included in BusinessCloud’s 100 FinTech Disrupters ranking for 2020, uses Google’s PaLM2 large language model – one of the first applications of PaLM2 in financial services.

The U.S. Copyright Office launched a new initiative to address policy and regulation issues raised by GenAI. Today, Generative AI stands as a testament to the power of human imagination and technological innovation. It has grown from humble beginnings into a sophisticated technology capable of producing remarkable output.

Jesal Mehta, CEO and Founder of Aavenir, underscored the transformative potential of Aavenir’s proprietary Large Language Model that has been meticulously tailored for contract management. He emphasized its role in enabling swift value augmentation across diverse business applications such as contract generation, risk identification and recommendation, automated redlining, and more. Mehta also pointed to the synergy achieved through data enrichment from interconnected solutions like ServiceNow Source-To-Pay, GRC, and LSD, which promises to reshape procurement, legal, and IT teams’ operational landscapes. The last time I spoke with Blair Sibille, Field CTO at BigPanda, back in March, it was obvious that significant developments were afoot. In addition, an in-house usage environment called ‘Generative AI Assistant Tool,’ which uses Azure OpenAI Service, etc., has been developed and will be available from the end of May. The Generative AI Centre will support the internal use of the tool to improve business efficiency and productivity by, for example, promoting the automatic generation of meeting minutes and low-code/no-code system implementation.

By feeding back such internal processes and results to customers and partners, they will strengthen the systems and improve literacy. Hitachi’s Digital Engineering Business Unit (BU), which was established in April to strengthen the digital business, will launch a consulting service that supports the utilisation of generative AI in business. Furthermore, the Cloud Service Platform BU will provide environment-building and operation support services in collaboration with the Azure OpenAI Service. genrative ai Generative AI is artificial intelligence that can interpret a huge amount of data and generate various content such as images, texts, sounds, and program code. This enhances Enlighten Actions, using large language models to create stronger brand loyalty for consumers and allow business users to interact with data in a conversational way. In healthcare, it’s used to create synthetic data for research, allowing scientists to move healthcare forward while maintaining privacy regulations.