• Bhubaneswar India
  • Contact+ 91-9938772605
  • Mon - Sat : 10:00AM - 6:00PM

Tag: Generative AI

What’s Next for Generative AI?

Generative AI took the world by storm in recent years after several chatbots, like ChatGPT, entered the public domain. The chatbots generated human-like text with a speed that seemed almost magical – writing sonnets in the style of Shakespeare, translating texts between numerous languages, churning out computer code and so much more.

Businesses and business pundits saw the potential benefits immediately. However recent months have seen small but growing doubts about generative AI. Detractors say generative AI’s capabilities have been overhyped. Hallucinations – false statements that generative AI models can make – decrease its usefulness, and many businesses have yet to find an ideal strategy to use these tools. And though ChatGPT is one of the fastest-growing applications of all time, the proportion of people who say they use it regularly remains fairly rare.

In “The Impact of Technology in 2025 and Beyond: an IEEE Global Study,” a recent survey of global technology leaders, 91 percent of respondents agreed that “in 2025 there will be a generative AI reckoning as public fascination and perception shift into a greater understanding of and expectations for what the technology can and should do — in terms of accuracy of results, transparency around deepfakes and more.”

But the survey doesn’t anticipate a lasting stumbling block for generative AI. A sizeable majority (91%) also agreed that “generative AI innovation, exploration and adoption will continue at lightning speed in 2025.”

So, what’s in store for generative AI in 2025? What’s the product roadmap, and what impact will they have on how we work and live?

More Multimodal Capabilities

IEEE Senior Member Daozhuang Lin expects generative AI models to make it easier to provide images and videos from short text snippets in the coming years. Text-to-image, text-to-video and speech synthesis will improve, and models will achieve better contextual understanding across diverse inputs.

“The first step is the deep integration of multi-modal to create more complex, detailed, accurate and self-consistent content for consumers and even professional content creators,” Lin said.

Cleaning Up Accuracy and Bias

Concerns over hallucinations, accuracy and bias have also slowed the adoption of generative AI models. Bias may creep in when the models are trained on biased data. Some image-generating models may show a preference for people of a certain race.

“The developers of the model need to focus on how to remove the bias and ethical issues generated by AI in the process of consumer data training,” Lin said. “It’s important to guide users to more universal and long-lasting values and to guide the model to become more ‘kind’.”

Improved Context Window

One limitation generative AI model face is the amount of information they can process at one time in a prompt. This is referred to as the context window or context size. Imagine, for example, that you need to input a very long prompt – or description – in an attempt to generate an image. At some point, the generative AI model will not be able to process the entire prompt. The output will only reflect a portion of the prompt, omitting potentially important information.

In another scenario, you may need to have a conversation with the model about a long document. As the conversation progresses, the model may forget earlier parts of the conversation.

Improving the context window would allow generative AI models to handle more complex tasks and improve the coherence of their responses.

“The limit of what we can do with generative AI has yet to be reached; we are not at the plateau of this technology,” said Hector Azpurua, an IEEE Graduate Student Member.

 

 

Disclaimer: The information contained in this press release is provided by a third party. We do not endorse or guarantee its accuracy. Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of Shreyas Web Media Solutions Pvt Ltd.

UST Debuts ‘UST Retail GenAI’ Platform, Revolutionizing Retail with Generative AI

London, UK | Bengaluru, India, 13 September 2024: UST, a leading digital transformation solutions company, has unveiled its ‘UST Retail GenAI platform’ at the London Innovation Lab. Steve Rempel, SVP & International CIO at Walgreens Boots Alliance, inaugurated this pioneering platform to transform retail operations through the power of Generative AI. Steve shared valuable insights on critical success factors to enable GenAI adoption, including the need to appreciate the trust cycle while planning various investments. Prior to the inauguration, UST’s CEO, Krishna Sudheendra, shared the focus with which UST is championing the adoption of Generative AI, including the in-house program to train 25,000 employees on GenAI.

AI has the potential to unlock between $400B and $660B in economic value for the retail industry, according to research. However, few companies have fully realized the potential of new technologies. Developed in-house by UST’s technology and industry sector experts, the platform combines established business models with key GenAI capabilities such as search, summarization, automation, and creation to revolutionize retail practices.

This state-of-the-art platform enables larger business teams to have an out-of-box experience for scenarios in the retail enterprise that would benefit from GenAI-led investments. The platform maps the alignment between GenAI and business capabilities, allowing for more effective decision-making. The UST Retail GenAI platform enables retailers to safely and swiftly pilot GenAI-driven solutions, test various scenarios and outcomes, accelerate innovation, and optimize operations. Retailers can conceptualize and plan their AI strategies with the help of scenario cards, which integrate the ‘Enterprise knowhow’ to address specific challenges.

“At UST, we’ve partnered with six of the world’s top ten retailers, transforming their businesses. While AI is already transforming retail operations, we still need to unlock its full potential. The UST Retail GenAI Platform offers a structured approach for exploring generative AI scenarios, marking a significant milestone in our mission to revolutionize retail operations through the power of generative AI. This is aligned to our focus on building platforms that can help scale the adoption of GenAI-led ways of working,” said Krishna Sudheendra, Chief Executive Officer, UST.

The benefits of investing in digital transformation and specifically AI were echoed in a recent survey commissioned by UST, where respondents cited building resilience to cope with future disruption the highest, increasing profitability, and improving sustainability as key outcomes of technological advancements within their business. UST AlphaAI consolidates the company’s AI offerings to enhance business agility, streamline operations, and accelerate digital transformation journeys.

How 3 Educators Are Using Generative AI

When generative AI tools first entered the public sphere in late 2022, many schools and educators gave them icy receptions. Students were passing off AI-generated essays as their own work. And it was very hard to tell the difference.

But relations between educators and generative AI tools have thawed as educators have taken steps to incorporate generative AI into their lessons and allow students to use generative AI tools in class work. Those steps, however, are taken with caution. On one hand, teachers say they want to acknowledge that generative AI will likely be used extensively in professional life. On the other hand, they also need to design coursework that helps students demonstrate their mastery of the subject using their intellect, without the aid of tools.

Here, three educators from different parts of the world – IEEE Senior Member Suélia Fleury from Brazil, IEEE Member Gloria Washington from the U.S., and IEEE Member Poonam Chaudhary from India – discuss how they use AI in the classroom.

SOME SEE GENERATIVE AI AS INEVITABLE

“The use of artificial intelligence is inevitable in educational teaching,” said Fleury. “I have not yet incorporated the application of AI into teaching and lesson plans, but I do not prohibit its use, as I believe it is necessary to address this integration.”

USING GENERATIVE AI REQUIRES DISCLOSURE

“Universities now allow students to use generative AI if they cite it in the homework and assignments they turn in,” Washington said.

IT MAY NOT BE APPROPRIATE FOR FOUNDATIONAL COURSES

“Some courses like ‘introduction to programming’ do not allow first-year students to use tools to generate code,” Washington said. “This is because they are dependent on learning the basics before use of these tools.”

CAN GENERATIVE AI LEVEL THE PLAYING FIELD?

“Generative AI offers students a way to validate their skills, thought processes and knowledge, while simultaneously automating tasks that may not align with their strengths,” Chaudhary said. “Not all students possess every skill set. This diversity can relieve the pressure of achieving mastery in all areas.”

TEACHERS DEFINITELY SEE VALUE IN HELPING THEM TEACH

“The thought of AI in education takes me to a future where it helps me create on-the-fly frequently asked questions, gathers materials that learners with different styles can utilize to practice their skills and allows students ways to interactively verify the theory that underlines topics and concepts,” Washington said.

HOW DO HALLUCINATIONS – FACTS AN AI MODEL MAKES UP – IMPACT THE USEFULNESS OF AI?

“If a person requests [from AI] a brief description of a particular term without having grasped the topic fully, they may end up repeating incorrect and disjointed information generated by the AI,” said Fleury.

VERIFICATION AND VALIDATION ARE STRONG EDUCATIONAL TOOLS

“Teachers and professors are using generative AI to help students teach applied theory,” Washington said. “Essentially, they are starting with a solution or output from the generative AI and asking students to verify the solution via the principles and techniques in class. They have to decide whether the output is valid or not. This is from the standpoint of programming classes, data science techniques and user interface design techniques.”

IF A STUDENT USES AI, CAN WE SAY THAT THE WORK DOES OR DOES NOT REFLECT THEIR MASTERY OF THE MATERIAL?

“The work submitted by students using chatbots can obscure the individual capabilities of each student,” said Chaudhary. “By relying heavily on these tools, students might not engage in critical thinking or explore beyond the information provided by the AI. This reliance on chatbots without validating the information can lead to a superficial understanding of the material.”

 

Disclaimer: The views and opinions expressed in this article are solely those of the expert(s) and do not necessarily reflect the official policy or position of any organization, employer, or individual mentioned. Any content provided in this article is for informational purposes only and should not be construed as legal, financial, or professional advice.

Digital Transformation’s Next Era: Generative AI and Laserfiche 12 at 2024 Empower Conference

April 29, 2024 Long Beach, Calif., United States
Preparing organizations for the next AI-driven phase of digital transformation is on the agenda at the 2024 Empower conference, hosted by Laserfiche — the leading SaaS provider of intelligent content management and business process automation — in Las Vegas through April 25. Laserfiche shines a spotlight on solutions that reduce complexity and accelerate information flow across the enterprise to help organizations manage increasing amounts of data.

Empower attendees got an early look at the latest Laserfiche AI features, including Laserfiche AI Document Summarization. The new offering, powered by generative AI, eliminates tedious sifting through documents by generating concise summaries of documents containing either text or transcribed audio. Laserfiche AI Document Summarization, which represents one milestone in the Laserfiche AI vision to transform the workplace, will be available in the upcoming Laserfiche Cloud release on April 30, 2024.

“At Laserfiche, we believe AI will impact productivity for many knowledge workers, but organizations need to go beyond this and apply AI at scale to be truly transformative,” said Michael Allen, CTO of Laserfiche. “To help organizations harness AI at scale, Laserfiche will release additional generative AI capabilities in the coming months that provide insights into document collections, allowing users to interactively query documents and extract knowledge using a natural language interface.”

Attendees also received a sneak peek of Laserfiche 12, the newest version of self-hosted Laserfiche, which will be available to customers in November 2024. The latest update includes powerful new features and administrative tools that make it easier for Laserfiche administrators to oversee and manage their Laserfiche ecosystems, including:

  • A new metadata template designer, which allows users to quickly build custom forms without code
  • Laserfiche Forms processes test mode, that enables automated deployment of packaged solutions
  • Updates to enterprise identity management tools to strengthen information governance
  • A new look-and-feel to enhance usability, featuring a clearer user interface to interact with repositories and business processes.

“We’re thrilled to bring this significant update to our self-hosted customers,” said Justin Pava, director, product management at Laserfiche. “Laserfiche 12 will empower more customers to create intuitive and powerful end-to-end solutions that deliver business value faster than ever.”

To empower customers to realize their future cloud migration plans, Laserfiche introduced the Laserfiche Cloud Migration Readiness Assessment Tool. Attendees were able to preview the Assessment Tool, with expected availability in late May 2024. The Assessment Tool reduces time-consuming, manual audits of Forms Processes and Workflows previously needed to migrate from self-hosted Laserfiche to Laserfiche Cloud. Assessments are produced as easy-to-read reports that can be shared with project stakeholders to accelerate migration planning and reduce service costs related to the migration process.

The general session also included a keynote presentation from business-centric technology leader Michael Keithley, who discussed the transformative impact of generative AI on the workplace. Finally, Laserfiche celebrated the 2024 Run Smarter Award winners, representing organizations around the world that are using Laserfiche to improve productivity, build innovative processes and achieve exceptional business results.

Laserfiche Empower 2024 featured over 100 sessions, hands-on labs and workshops focused on digital transformation, and empowering attendees to use Laserfiche to work smarter. Attendees also enjoyed networking opportunities, user groups, interfacing with the Laserfiche development team and first-look demonstrations.