Tag 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.

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.

15/07/2024- In today’s rapidly evolving tech landscape, Generative AI (GenAI) has quickly moved from a buzzword to a powerful, practical tool. AI is now integral to various fields, including healthcare, finance, transportation, and entertainment. Machine learning algorithms are enhancing medical diagnoses, optimizing financial trading, powering self-driving cars, and even creating art.

AI Appreciation Day is a time to celebrate the advancements in artificial intelligence and reflect on the ethical implications of this technology. It encourages a candid conversation about ensuring AI is used for the greater good.

As AI continues to develop rapidly, it is crucial to engage in thoughtful and inclusive dialogue about its potential and pitfalls. The decisions made today will shape the future of AI and its impact on society.

Comments By Industry Experts:

Amit Luthra, Managing Director – India, Lenovo ISG

“The AI decade has just begun, and we must recognize and emphasize practical applications over technological breakthroughs. With an increase in AI application, mitigating risks and deployment complexities becomes crucial for organizations looking to expand and enhance their operations. At Lenovo, our goal is to deliver AI to your data efficiently and responsibly. This AI Appreciation Day, let’s reaffirm our commitment to a ‘’Hybrid AI’’ vision ensuring AI is accessible, fair, and inclusive to all.

Today, 57% of Indian CIOs see AI as a game changer but face the biggest deployment challenges that are identifying the right business use case and skilled AI talent. Lenovo’s ongoing $1 billion investment in delivering a comprehensive AI-ready portfolio, spanning from pocket to cloud, accelerates large-scale AI deployment. Additionally, our ‘AI Fast Start’ for AI Innovators offering 165+ deployment-ready solutions, and 8-GPU systems quickly demonstrates AI value across industries.

As business needs expand, hybrid Smarter Infrastructure effectively manages AI complexities. Moreover, it enables them to generate and process data in real-time helping them to improve, innovate, and enhance superior customer experience. Ushering in this new era of AI, businesses must develop and evolve the entire industrial ecosystem to ensure AI is accessible across all development and application stages. Everyone should benefit from these advancements in a more sustainable future created through smarter AI.”

Mayank Baid, Regional Vice President, India, Cloudera.

“In India, AI is no longer a new technology or concept, but a part of India’s digital progress as one of the fastest-growing economies in the world. While 2023 was centered on AI quality and capabilities, 2024 is geared toward delivering tangible value. To achieve this, businesses are developing custom AI solutions to maximize the technology’s benefits. However, many Indian organizations still struggle to integrate AI models with business data and deploy LLMs efficiently. These challenges delay the realization of AI’s full potential, preventing businesses from maximizing data value, driving revenue, and optimizing costs. Additionally, the lack of accessible AI-driven tools for data analysis hinders the extraction of valuable insights.

At Cloudera, we fully understand this and constantly work towards addressing these gaps to better equip our customers to make data-driven decisions. We have recently introduced AI-driven assistants, including SQL AI Assistants, an AI Chatbot in Cloudera Data Visualization, and Cloudera Copilot for Cloudera Machine Learning. These tools accelerate AI development, democratize access to insights, reduce data management costs, and enable new use cases, empowering businesses to fully leverage their data.

Recently, an Indonesian bank, OCBC, has chosen Cloudera to support their vision of becoming a digital-first bank, enhancing customer experiences. The bank aims to leverage Cloudera’s hybrid data platform for generative AI, data management, and analytics. This partnership will aid The bank’s data science team integrated their data lake with various applications, enabling the delivery of advanced AI models and personalized customer recommendations,”

Sreejith AR, Global Head of Middleware Data Product & Services, Head of Creation Platform & Shared Services – APAC

“In an era where one-size-fits-all no longer cuts it, travelers crave unique experiences. Gen AI is today solving this by providing hyper-personalized search results to real-time recommendations, unlocking a new era of travel. At Amadeus, we are leveraging Gen AI to make the experience of travel better, for everyone, everywhere. We are empowering travel providers and sellers worldwide, to enable them to deliver smarter, more personalized travel experiences to their customers. Our APIs empower travel innovators to develop AI-based applications that not only innovate with new features but also introduce disruptive business models, fundamentally reshaping the travel experience. For instance, our Cytric solution offers conversational flight search, allowing travelers to book trips in natural language and inquire about travel policies and costs effortlessly. Amadeus Hey! builds brand loyalty post-trip through smart campaign management, keeping travelers inspired and engaged. In fact, AI’s impact extends beyond travel enhancements; it revolutionizes customer support by automating responses, providing instant and accurate information, thereby enhancing satisfaction and reducing the workload on support teams.

Looking ahead, AI-powered customer service promises heightened empathy and efficiency, establishing unprecedented standards in customer experience across the industry. AI brings transformative services to travelers’ fingertips, facilitating smarter choices, stress-free journeys, and seamless experiences. At Amadeus, we extend AI’s benefits not only to our customers but also integrate AI tools like Copilot to empower our employees, unlocking their full creative and productive potential. At Amadeus, we ignite a culture of relentless innovation and unparalleled efficiency that will transform the travel industry.”

Karthik Rajaram, Area Vice President and General Manager, India, Elastic

“As India’s digital economy rapidly expands, Artificial Intelligence (AI) has seen significant growth, redefining the country’s technological capabilities and social impact. From simplifying mundane tasks to solving complex global challenges, AI has seamlessly integrated into various aspects of our personal and work lives, driving efficiency and innovation and revolutionizing industries.

Among the various applications of AI, Search AI stands out as a game-changer. Taking the precision of search and the intelligence of AI, Elastic has helped many organizations interact with and derive value from their data, to get answers that are faster, smarter, and more efficient.

In healthcare, it is helping medical professionals quickly access critical patient information, research studies, and treatment plans, enabling better diagnosis and care. In business, it is empowering companies to swiftly uncover actionable insights from vast data pools, enhancing decision-making, customer service, and operational efficiency. Additionally, it assists IT and security teams in real-time threat identification and helps businesses offer more targeted customer support.

Yet, as we celebrate AI and its achievements, it is also crucial to emphasize our responsibility in ensuring its ethical application. Elastic is deeply committed to AI’s ethical development and deployment, emphasizing transparency, accountability, and fairness. Our vision is to harness the power of Search AI while preventing biases and ensuring equitable benefits for everyone.

On this AI Appreciation Day, let us celebrate the extraordinary advancements in AI technology and the positive impact it has on our lives. Let us commend the innovators and visionaries who make these advancements possible. At Elastic, we are thrilled to be part of this journey, transforming how the world searches, accesses, and interacts with data.”

Nick Magnuson, Head of AI, Qlik

“Artificial Intelligence, when grounded in contextually-relevant information, becomes a game-changer for businesses. The true power of AI lies in its ability to uncover insights across a wide array of information in real-time. Having a robust foundation for AI not only enhances the precision of these models but also transforms decision-making processes across all levels of an organization.

AI can make complex data accessible and actionable, democratizing insights and enabling employees, regardless of their technical expertise, to drive smarter outcomes. However, to unlock AI’s full potential responsibly, businesses must invest in comprehensive data integration and governance frameworks. This ensures that AI systems are fed with accurate, relevant, and timely data, while minimizing biases and fostering trust.

Looking ahead, AI will serve to differentiate industry leaders from laggards. Countries like India are pioneering in this space, demonstrating how AI can transform sectors such as healthcare and education. But remember two things: success in AI is a journey, not a destination.  Develop a plan that suits your organizations needs and abilities, one that builds on early successes.  Second, AI is not a replacement for human judgment – it’s an enhancement. By combining AI’s capabilities with human expertise, we significantly improve our ability to make informed, strategic decisions in this rapidly evolving technological landscape.”

Chinmay Hegde, Co-Founder, CEO, and Managing Director of Astrikos

“Under the central government’s ambitious National Infrastructure Pipeline (NIP) Program, India’s infrastructure sector will be fuelled by planned investments worth USD 1.4 trillion by 2025. This massive growth demands a substantial workforce, both technical and non-technical, to ensure these projects succeed. However, the shortage of skilled labor in the sector is a growing challenge, with employability remaining a significant hurdle.

With new airports, roads, and other infrastructure projects slated for this year, the solution to the manpower crisis lies in harnessing Infra-AI technology. The year 2024 will be a critical milestone in AI’s evolution, as Infra-AI has the potential to create more efficient, resilient, smarter, and sustainable infrastructure systems by integrating machine learning, IoT, and other advanced technologies. Infra-AI can also provide real-time data analytics and predictive models, monitor carbon emissions, identify inefficiencies, forecast ambient temperature requirements, and optimize energy output. These capabilities empower administrators in planning, monitoring, and decision-making. On AI Appreciation Day 2024, we at Astrikos.ai celebrate AI’s vital role in ensuring the enduring success of sustainable infrastructure projects.”