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OI Session: AI in Supply Chain and Logistics

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OI Session: AI in Supply Chain and Logistics

The OI session on “AI in Supply Chain and Logistics” featured industry experts discussing the transformative role of artificial intelligence (AI) across various sectors of the supply chain, including pharmaceuticals, steel, and packaging. The session highlighted both the potential benefits and the challenges of integrating AI into existing systems.

The panelists that participated are Bharat Bhushan Rathi, Head of Distribution and Logistics at Mankind Pharma, with over 17 years of experience in various logistics and management roles. Dr. Ghanshyam Singh, Head of Purchase & Supply Chain Management, with expertise in B2B and B2C, and previous roles at Walmart, Rich’s, Savencia, and Chaipoint, holding a PhD in Strategy, MBA, and LLB. Sameer Gupta, Deputy General Manager – Supply Chain (LSS-Black Belt) at JK Tyres & Industries Ltd. S.K. Ranka, Head of Procurement at Maharashtra Seamless Ltd, with extensive experience in procurement and supply chain management.

Key Insights

1. Pharmaceutical Industry

  • AI Use: AI is being used to help with demand planning by forecasting production requirements and illnesses.
  • Human Touch: Because of the industry’s intricacy, human intervention was necessary despite AI’s potential. According to pharmaceutical specialist “the current supply chain is a well-designed human chain,” highlighting the need for AI to support human decision-making rather than replace it.
  • Industry Dynamics: Seasonality has a significant impact on India’s fragmented industry, making adaptability essential for success.

2. Steel Industry

  • SK Ranka of Maharashtra Seamless Limited discussed how artificial intelligence (AI) helped collect historical data and forecast market trends, resulting in better-informed procurement strategies.
  • Inventory management: Steel producers had to balance output for local markets against exports due to low domestic demand. Despite being crucial, accurate demand forecasting was difficult because of erratic outside influences.

3. Packaging Industry

  • The panelists emphasized how artificial intelligence (AI) facilitated improved decision-making by offering insights into global market circumstances, raw material costs, and refinery optimization.
  • Negotiation Efficiency: With many negotiations occurring every day, the capacity to evaluate information prior to discussions greatly enhanced results.

4. Predictive Capabilities and Agility

  • The role of AI: AI improved enterprises’ capacity to monitor sustainability efforts, make prompt choices, and streamline transportation systems.

  • Sustainability Focus: AI is helping enterprises make the shift to more sustainable operations by lowering carbon footprints and managing energy utilization.

5. Challenges and Innovations

  • Implementation Barriers: Using AI to its full potential is difficult due to supply chain complexity. It is believed that startups were essential in providing creative answers to these problems.

  • Real-Time Solutions: Businesses like Syook showed how AI-powered solutions greatly improved asset management and logistics operational visibility and efficiency.

6. Digital Transformation

  • Enterprise Solutions: A number of companies implemented AI and big data strategies to optimize production planning, inventory control, and procurement procedures, leading to significant cost and efficiency savings.

The conversation acknowledged the ongoing need for human expertise while highlighting the critical role AI plays in improving supply chain management. To overcome current obstacles and take advantage of the benefits AI offered, cooperation and creativity were crucial. In order to prepare supply chain management for a bright future, the session ended with a request for continued participation and investigation of new technologies in subsequent meetings.

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AI Revolutionizes Human Resources: Insights from Industry Leaders

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AI Revolutionizes Human Resources: Insights from Industry Leaders

The OI session “AI in HR” included a lively examination of how AI may be incorporated into human resources. HR professionals Dr. Pradyumna Pandey, Sunaina Kaul, Vikas Singh Baghel, Harshit Shrivastava, and Smriti Jain participated in the virtual event.

The session showcased the transformative potential of AI in HR while emphasizing the necessity of a balanced approach that integrates human expertise with technological advancements. The insights from industry leaders and innovators underscored the evolving landscape of HR and the importance of leveraging AI to enhance the human experience in the workplace.

Key Insights

  1. AI’s Role in HR Transformation
    1. Efficiency Gains: AI is projected to reduce hiring time by up to 75% and significantly increase candidate engagement, with a compound annual growth rate of 10.4%.
    1. Balancing Human Interaction: In order to preserve interpersonal relationships and trust, leaders underlined the significance of preserving human supervision in AI-driven operations.
  2. Expert Contributions
    1. Panel Insights: Every HR specialist contributed a different viewpoint about utilizing AI. Sunaina K spoke on improving employee interactions, while Dr. Pradyumna Pandey talked about leveraging AI to empower workforces. Vikas Singh emphasized the potential for data-driven insights to result in quicker and more intelligent decision-making.
  3. AI-Driven Solutions
    1. Innovative Applications: AI is being utilized for screening candidates, personalizing experiences, and workforce planning. The session highlighted tools such as chatbots, internal talent marketplaces, and productivity monitoring systems.
    1. Startup Innovations: Startups like Expertia, Zimyo, and Evalgator showcased their AI solutions aimed at streamlining recruitment and enhancing employee experiences.
  4. Changing Recruitment Practices
    1. Skills Over Experience: There was a notable shift toward prioritizing skills rather than traditional experience in recruitment, aligning with evolving workforce dynamics.
    1. Ethical Considerations: Discussions included the potential of AI to reduce biases in hiring and ensure ethical recruitment practices through anonymized candidate evaluations.
  5. Human-Centric AI Implementation
    1. Maintaining the Human Touch: Panelists underscored that while AI could automate many processes, the intuition and empathy of seasoned HR professionals remained irreplaceable.
    1. Transformative Potential: The session highlighted the rapid changes in HR philosophy driven by AI, emphasizing adaptability and the need for innovative strategies.
  6. Future Trends and Challenges
    1. Navigating New Norms: The conversation included the importance of using AI to adapt to external trends and improve employee engagement.
    1. Mental Health and Well-being: As technology advances, the need for empathy and understanding in HR practices became increasingly critical.

The session concluded with an acknowledgment of the vital role empathy plays in HR practices, especially as soft skills become increasingly valuable. Sunaina K Kaul pointed out that empathy is essential for building meaningful relationships in the workplace, underscoring the need for HR professionals to blend technology with human insight.

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OI Session:Leveraging AI in Manufacturing Sector

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OI Session:Leveraging AI in Manufacturing Sector

OI session, AI in Manufacturing, was held on October 28th, the leaders discussed how artificial intelligence (AI) is drastically changing the manufacturing industry by improving operating efficiency, anticipating equipment problems, and streamlining production processes. The several uses of artificial intelligence (AI) in manufacturing, with particular attention paid to generative AI, predictive maintenance, and the combination of AI with information technology (IT) and operational technology (OT) were discussed. The discussion also included obstacles to the adoption of AI, such as moral dilemmas and the requirement for human participation in decision-making.

The leaders that participated at the event,are:

•              Jemin Tanna, Digitization R&D Head at Siemens Industrial Automation, Generative AI and Startup Focus

•              Achyut Chandra, Manager and Lead at HCL’s Open Innovation vertical, integrating startup solutions into large enterprises

•              Harini Gorla, Associate Director / Senior Principal Enterprise Architect, GSK

•              Ramachandran S, Principal Consultant in the thought leadership unit at Infosys Knowledge Institute, leading engineering, manufacturing, sustainability, and energy transition initiatives

This session also featured exclusive startup pitches from the country’s hottest innovators in the field.

•              ⁠Energy ETA: An IoT-AI enabled platform that combines proprietary hardware, communication, and software to deliver reliable, secure, and sustainable digitization, Founder- Jagjit Singh

•              ⁠Visionbot: Pioneers of plug-and-play visual inspection, driving unmatched efficiency and accuracy for businesses; Founders – Amit C.  Prabhu Prakash  Michael McCoy

•              ⁠SyskeyOT Cybersecurity: Purpose-built OT/ICS cybersecurity, safeguarding critical assets with seamless protocol integration and enhanced visibility, Founder- Rajendran Chellamuthu

The Role of AI in Revolutionizing Manufacturing

Introduction

The use of AI technology is poised to bring about a significant change in the manufacturing sector. AI is expected to boost the global manufacturing industry by about $4 trillion a year by 2030.

Key Applications of AI in Manufacturing

1. Predictive Maintenance

Predictive maintenance is made possible by AI technologies, which analyze data from operations and equipment to anticipate breakdowns before they happen. This strategy enables businesses to reduce maintenance expenses and downtime, which eventually results in significant savings. For supply chain inefficiencies like the bullwhip effect to be accurately identified, data from several sources must be integrated.

2. Generative AI in Design

Manufacturers may produce numerous design iterations that strike a balance between performance and aesthetics because to generative AI’s significant advantages in product design. Demand forecasting and product end-of-life management, including robotic recycling, are just a few of the operations that this technology may help with. However, copyright and ethical issues are brought up by the use of generative AI, which calls for human oversight.

3. AI and Automation Integration

The efficiency of manufacturing is increased by combining automation technologies with AI. Finding appropriate AI solutions requires a cooperative strategy that encourages departmental cooperation. Applications of AI can be found in the aftermarket industry and prototype creation, offering chances for cost savings and increased operational effectiveness.

Challenges of AI Adoption

1. Ethical and Legal Concerns

AI adoption in manufacturing is hampered by issues with prejudice, ethics, and intellectual property rights. Fostering a culture of responsible AI use requires addressing these problems. In the age of Industry 5.0, where AI technologies should support human labor rather than replace it, the human element is still crucial.

2. Skills Gap

There is a skills gap in the manufacturing workforce as a result of the quick development of AI technologies. Upskilling staff members to improve their capacity to collaborate with AI systems must be a top priority for businesses. Training in AI that prioritizes explainability and the democratization of AI across all organizational activities should be part of this reskilling initiative.

Strategies for Successful Implementation

1. Focus on Measurable Outcomes

Instead than just implementing various AI models, organizations should focus on attaining quantifiable results. This emphasis will guarantee that AI projects complement corporate goals and yield observable advantages.

2. Collaboration with Startups

Established manufacturers can investigate novel AI technologies and jointly create value by collaborating with creative startups. Specific issue statements should be the focus of collaborative partnerships so that each party can contribute as much as possible and get as much information as possible.

3. Bridging IT and OT

Effective use of AI in manufacturing requires the confluence of IT and OT. A more unified approach to AI deployment will be made possible by this combination, which will also improve cybersecurity and operational effectiveness.

Success Stories

Leading the way in offering AI-powered manufacturing solutions are a number of firms. Businesses that specialize in cybersecurity for OT environments, for example, are tackling security flaws brought on by the confluence of IT and OT. To protect industrial networks, they offer asset detection solutions and log management systems.

Additionally, operational procedures are being optimized through the deployment of AI models that apply reinforcement learning, which increases energy savings and boosts overall efficiency.

Takeaway

AI has the ability to completely transform industry by increasing output, cutting waste, and stimulating creativity. However, resolving ethical issues, closing the skills gap, and guaranteeing that human expertise continues to play a crucial role in decision-making are all necessary for the successful deployment of AI technologies. To fully utilize AI and bring about significant change in the sector, manufacturers must place a high priority on cooperation, ongoing education, and strategic alliances.

By doing these things, businesses can make sure they stay viable and competitive in a world that is becoming more automated and AI-driven.

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Cloud Computing Experts Unite for “Innovation in Cloud Compute” Session

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Cloud Computing Experts Unite for “Innovation in Cloud Compute” Session

In a remarkable showcase of expertise and insight, industry leaders gathered for the “Innovation in Cloud Compute” session, hosted in collaboration with Dell Technologies. The event brought together prominent figures, including Murale Narayanan, Penumatcha Vijaya Rama Raju, Srinivasan Varadhan, and Dr. Sonu Bhaskar, all of whom shared their vision on the transformative power of cloud computing.

The session attracted a diverse audience eager to explore actionable strategies for harnessing cloud technology to enhance business operations. From the outset, attendees were captivated by the discussions on critical topics shaping the future of enterprise technology.

One of the standout themes was the rapid growth of the cloud market, projected to reach $376 billion by 2029. With 92% of enterprises adopting multicloud strategies, the urgency for businesses to embrace cloud solutions has never been clearer. Panelists emphasized that shifting to the cloud can lead to substantial cost savings—averaging 30% to 50%—while also significantly reducing energy consumption.

Security emerged as another focal point, particularly in hybrid cloud environments. As organizations navigate the complexities of managing data across various platforms, experts highlighted best practices for data management, including encryption and multi-layer security strategies. This is especially crucial as businesses strive to protect sensitive information in an increasingly interconnected world.

The session also featured innovative startups like Frga Cloud, which aims to simplify Kubernetes management—a rapidly growing area in the cloud landscape. Their solutions address the steep learning curve associated with Kubernetes, making it more accessible to organizations looking to leverage this powerful technology.

The event fostered an engaging atmosphere that encouraged interaction among participants. The relaxed format, free from tedious presentations, allowed for lively discussions and networking opportunities, making the experience both informative and enjoyable.

As the session wrapped up, attendees expressed excitement about the future of cloud technology and the insights gained during the event. The discussions not only illuminated the current landscape but also set the stage for ongoing conversations about the challenges and opportunities that lie ahead.

The “Innovation in Cloud Compute” session marked a significant milestone in fostering collaboration and knowledge sharing within the industry, reinforcing the importance of continuous learning and adaptation in the ever-evolving realm of cloud computing. As businesses continue to explore the limitless possibilities of this technology, the insights from this event will undoubtedly play a crucial role in shaping their strategies for success.

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Open Innovator Concludes Knowledge Session on Generative AI in Decision-Making

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Open Innovator Concludes Knowledge Session on Generative AI in Decision-Making

Open Innovator successfully concluded its recent Knowledge Session titled “From Data to Decisions: GenAI-Powered Tools for Actionable Insights,” leaving attendees with transformative insights poised to influence the future of decision-making in various industries.

The session featured industry experts, including Sridhar Anjanappa, Shirin Shinde, Parijat Verma, and Sarbani Datta, who shared their expertise and facilitated impactful conversations about the integration of Generative AI (GenAI) in business strategies. Attendees expressed gratitude for the valuable discussions that highlighted the challenges and opportunities presented by GenAI technologies.

A significant highlight of the event was the exclusive startup pitches from GenAI innovators, showcasing advancements in sustainable automotive solutions. Companies like Alphaa AI, LEGOAI Technologies, and dataeaze systems demonstrated their innovative approaches to harnessing AI for real-world applications.

The Knowledge Session also included a detailed YouTube presentation titled “Data to Decisions: Transformation through Generative AI.” This video explored the role of GenAI as a personal data assistant, emphasizing its capability to transform vast data sets into meaningful insights. Experts such as Sani Data and Suant Bindal discussed the importance of GenAI across various sectors, including mining and healthcare, and addressed the necessity for unbiased AI systems capable of processing real-time data.

The session shed light on the staggering amount of data generated globally—projected to reach 181 zettabytes by 2025—and how organizations currently utilize only a fraction of it. Discussions highlighted the need for effective integration of GenAI within existing data analytics frameworks, stressing the importance of collaboration among stakeholders to ensure alignment and efficiency.

Looking ahead, Open Innovator encourages ongoing engagement with their community, promising more insights and knowledge-sharing sessions in the future. Attendees and interested parties can look forward to bite-sized highlights from the discussions via Open Innovator’s platforms.

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Circular Economy in Auto Mobility: A Knowledge Session on Sustainable Innovation

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Circular Economy in Auto Mobility: A Knowledge Session on Sustainable Innovation

The recent Open Innovator session titled “Knowledge Session on Circular Economy in Auto Mobility introduced the concept of the circular economy as a transformative approach to automotive sustainability. The session gathered industry leaders and innovators to discuss how circular economy principles can reshape the automotive sector, focusing on areas like design for serviceability, refurbishment, recycling, and sustainable battery management.

The speakers emphasized the potential of circular economy models to extend the life cycles of vehicles, allowing them to undergo multiple iterations of use rather than ending up in landfills. This shift could lead to a remarkable 70% reduction in material costs, presenting a compelling case for automotive engineers, sustainability experts, policymakers, and investors interested in sustainable mobility.

The session featured insights from prominent speakers, senior directors from Ford Motors, and representatives from Toyota and the NASSCOM Center of Excellence. Sanjeev Malhotra from NASSCOM kicked off the discussion, stressing the importance of sustainability in innovation and inviting input from Bosch representatives on how these discussions are shaping their organizational strategies.

A key focus of the session was the need to transition from traditional linear economic models to more sustainable circular frameworks. Speakers highlighted informal recycling practices in places like Bangalore as examples of how the automotive industry could scale up these efforts into a comprehensive cradle-to-cradle economy. This approach emphasizes not only recycling but also redesigning the value stream of automotive development, promoting resource reuse and minimal waste.

The discussion also delved into the challenges impeding the adoption of circular economy practices in the automotive sector. Financial regulatory pressures and technological limitations emerged as significant barriers, with speakers advocating for enhanced data extraction from manufacturing processes and addressing social, economic, and environmental impacts to facilitate the transition.

Innovative companies were spotlighted for their contributions to the circular economy. Abishek from Batx Energies discussed their role as the largest black mass producer in India, focusing on battery recycling and metal extraction from end-of-life batteries. BETX, another key player, highlighted their recycling capabilities and efforts to refurbish batteries to meet the growing demands of the electric vehicle market.

The session also emphasized the critical role of collaboration in achieving circularity. Representatives from companies like Bosch discussed the importance of creating a predictable ecosystem for electrification, with a focus on battery recycling and data sharing to build trust among manufacturers.

Volkswagen’s commitment to improving their ESD ratings through vehicle life cycle management and Toyota’s focus on sustainable investments in Indian startups further illustrated the industry’s shift toward circular practices. The representatives stressed the need for continuous innovation and collaboration among stakeholders to realize the full potential of circular economy strategies.

In conclusion, the “Knowledge Session on Circular Economy in Auto Mobility” provided a rich platform for exploring the future of automotive sustainability. With a clear emphasis on innovation, collaboration, and addressing the challenges of transitioning to a circular economy, industry leaders expressed optimism about the road ahead. As the automotive sector embraces these principles, it paves the way for a more sustainable and economically viable future in mobility

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LLM Turbocharge: Optimizing for Widespread Impact

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LLM Turbocharge: Optimizing for Widespread Impact

In a recent Open Innovator Session titled “LLM Turbocharge: Optimizing for Widespread Impact industry leaders convened to explore the transformative potential of Large Language Models (LLMs) and their applications across various sectors, including healthcare, finance, and research. Organized by Open Innovator, a platform dedicated to connecting innovators, industry leaders, and investors to accelerate groundbreaking solutions, the event aimed to inspire attendees—from tech enthusiasts to business leaders—by showcasing real-world applications of LLMs and addressing the challenges of their implementation.

The session kicked off with an introduction to LLMs, described as the “brains behind many AI power tools.” Speakers highlighted the capabilities of these models to process vast amounts of information, understand context, and generate human-like text.

Throughout the session, speakers discussed the hurdles smaller companies face in adopting LLM technology, with insights into their experiences. Asos explained how their organization began using LLMs to enhance productivity and streamline processes, while L’Oreal and Carrier highlighted their unique applications emphasizing research and customer service automation.

A recurring theme was the importance of education and stakeholder engagement in successfully integrating LLMs into organizations. The speakers emphasized that making LLMs accessible to non-technical users remains a critical challenge, but ongoing efforts aim to improve user-friendliness and understanding.

The session also addressed the significance of optimizing LLMs for widespread impact, including the use of open-source models, high performance at lower costs, and overcoming barriers to entry for smaller companies.

The session concluded with positive audience feedback and a call to continue fostering a community of innovators and technology leaders. Plans for future sessions were announced, reflecting the enthusiasm for ongoing discussions about the impact of LLMs in driving innovation across industries.

The “LLM Turbocharge” session not only shed light on the current state of AI technologies but also set the stage for continued collaboration and exploration of LLMs’ potential to reshape the future of various sectors.

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Transforming Automation: Insights from the ‘From Prompts to Production’ AI Open Innovator Event

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Transforming Automation: Insights from the ‘From Prompts to Production’ AI Open Innovator Event

The recent “From Prompts to Production” Open Innovator Session proved to be a significant milestone in the exploration of AI’s role in transforming software development and automation. This groundbreaking event brought together industry leaders, innovative startups, and forward-thinking professionals to examine how AI is reshaping the landscape of technology.

A Deep Dive into AI’s Transformative Power

The session began with a series of insightful presentations from industry experts who offered a comprehensive look into the game-changing impact of AI on modern development processes. Their discussions highlighted how AI technology is set to streamline workflows, enhance efficiency, and drive innovation in software development.

Showcasing India’s Pioneering AI Startups

The event’s spotlight was on some of India’s most dynamic AI startups, including Apto.ai, Codeant.ai, and Kushho.ai. These startups captivated the audience with their cutting-edge AI-powered solutions. Deepak Kalhan, Amartya Jha, and Abhishek Saikia demonstrated how their revolutionary products are set to redefine automation and explore new realms of possibility. Their presentations showcased the potential of AI to push the boundaries of what’s achievable in software development.

Insights from Leading Industry Players

We were honored to have leaders from renowned companies such as Beckman, Commvault, GAVS/GE, and Baxter participate in the event. Their valuable insights and contributions sparked thought-provoking discussions about the wide-ranging applications of AI across various industries. Their perspectives provided a deeper understanding of how AI can be leveraged to solve complex challenges and drive progress.

Acknowledging Contributions and Looking Forward

We extend our sincere gratitude to all the speakers, attendees, and partners who made the “From Prompts to Production” session a resounding success. Your participation and enthusiasm are crucial in advancing innovation and empowering professionals with the knowledge and tools to shape the future of AI and automation.

As we look ahead, we are excited about the opportunities to continue exploring the cutting edge of AI technology and its applications. Stay tuned for more events and insights that will further illuminate the path to technological advancement.

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Revolutionizing AI: Highlights from the ‘LLM Turbocharge’ Knowledge Session

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Revolutionizing AI: Highlights from the ‘LLM Turbocharge’ Knowledge Session

On July 17th, the tech community witnessed an inspiring convergence of industry leaders, innovators, and experts at the much-anticipated knowledge session titled “LLM Turbocharge: Optimizing for Widespread Impact.” The event was a resounding success, bringing together bright minds to delve into the cutting-edge world of Large Language Models (LLMs) and their optimization for broader influence.

A Deep Dive into LLM Optimization

The session offered a comprehensive exploration of LLM fundamentals, showcasing the latest advancements in AI and the techniques that are pushing the boundaries of what these models can achieve. Participants gained invaluable insights into how LLMs can be fine-tuned and optimized to maximize their impact across various industries.

The event wasn’t just about theoretical knowledge; it was a dynamic platform where innovation met practicality. Attendees were treated to live startup pitches, each presenting groundbreaking AI applications that are set to revolutionize their respective fields. These presentations underscored the vast potential of LLMs in driving innovation and solving real-world challenges.

Spotlight on Innovators

We were honored to host a lineup of brilliant startup presenters whose ideas left a lasting impression on all attendees. Special thanks to:

  • Arko C from Pipeshift AI (YC S24), who shared his visionary approach to AI-driven solutions.
  • Jigar Gupta from RagaAI Inc, whose insights into AI’s future possibilities were truly inspiring.
  • Ayush Garg from Portkey, who presented a compelling case for how LLMs can be harnessed for widespread impact.

Their contributions were invaluable, offering a glimpse into the future of AI and its applications.

Jury Panel of Experts

The session’s success was further elevated by the esteemed jury panel, whose experience and wisdom added immense value to the discussions. We are deeply grateful to:

  • Abhay Joshi from Loreal
  • Srinath K. from GAVS
  • Ashutosh Gupta from DANAHER
  • RaviKumar Ramamurthy from Yokogawa
  • Ravindra Rapeti from Carrier

Their feedback and insights provided critical perspectives that will undoubtedly help shape the future trajectories of the innovative ideas presented.

Special Acknowledgments

We extend our heartfelt thanks to Sanjeev Malhotra for his participation and engagement with our jury, offering his unique perspectives on the discussions. A special note of appreciation also goes to Naman Kothari, who expertly hosted the event, ensuring a smooth and enlightening experience for all involved.

Forging Connections and Sparking Ideas

The “LLM Turbocharge” session was more than just an event—it was a catalyst for collaboration and innovation. The connections made and the ideas sparked during the session have the potential to drive significant advancements in AI. We are excited to see how these insights will shape the future of LLMs and their applications across industries.

As we look to the future, we remain committed to fostering similar opportunities for learning, collaboration, and innovation, empowering the AI community to continue pushing the boundaries of what’s possible.

https://youtube.com/watch?v=UDJM2M1Ur3M%3Fsi%3DDUKckkfOf3ts2g1U

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Visibility Quotient

Newsletter- March 2024

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Visibility Quotient

Newsletter- March 2024

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