AI at Scale: Blueprint for Data Center Innovation in Manufacturing
SPEAKERS : Amit Anil Bhatt, Business Director, Data Center Services, Sify Technologies Limited Sojan Joy, Vice President, Product and Solutions Head, Data Center Services, Sify Technologies Limited Sriram Prasanna Narayanasamy, Group Practice Head, Director-Cloud IT,DC, Wipro Sudeep Agarwal, CIO, Reliance Infrastructure
Atul Govil, Chief Transformation Officer & Head (SAP & IT) β Corporate, India Glycols Limited
Sujoy Brahmachari, CIO and CISO β Smart Card Business, Rosmerta Technologies Limited
AI at Scale: Blueprint for Data Center Innovation in Manufacturing
SPEAKERS: Suresh Gummaraju, General Manager Product – Network Managed Services, Sify Technologies Santhana Prasanth R, General Manager Product – Network Infrastructure Services,
Sify Technologies Arindam Sengupta, CIO, Wipro Consumer care and Lighting Bhargab Dutta, Chief Digital Officer, Century Plyboards Anil Kumar, Associate Director – Corporate Risk Management, Teva pharmaceuticals India
AI at Scale: Blueprint for Cloud Innovation in Manufacturing
SPEAKERS:Pramod Bhandiwad, Head β AI & Software Development, Sify Technologies Pushpendra Kumar, Regional Business Head β Cloud & IT, Sify Technologies Vinod Sharma, Head IT – Hero Future Energies Rajesh Singh, VP & Head IT – JK Lakshmi Cement Ltd. Barun Kumar De, Principal Data Scientist, Bosch Global Software Technologies
Seamless Cloud to Edge Strategies: Unlocking Hybrid IT Potential in Manufacturing
SPEAKERS:
Anitosh Halder, SVP & Business Head – Cloud & IT Managed Services, Sify Technologies
Jitender Durairajan, Head Cloud Engineering & Solutions, Sify Technologies
Arvind Raman, Senior Solution Specialist: Data & AI, Microsoft
V Ranganathan Iyer, Sr. EVP- IT, Group CIO, JBM Group
Kapil Mehrotra, Group CTO & CISO, Dhanuka Agritech
Kauser Khan, Vice President Information Technology, Maruti Suzuki India
DATE:
June 6, 2024 | 3:00 PM
DESCRIPTION:
To maximize the benefits of digital initiatives across all operational areas, organizations must go beyond modernizing their core to include the edge environment. For manufacturing companies looking to migrate their ERP to cloud platforms such as Azure, the transition demands robust integration between cloud and edge operations for real-time data processing and collection.
Service providers play a crucial role in assessing the current IT landscape to proposing the best suited hybrid/multi-cloud strategy to drive innovation into key operational areas like warehousing and logistics at the edge.
Organizations require integrated solutions encompassing connectivity, security, and managed services to ensure low latency, compliance, efficient data analytics, and to harness AIβs potential. This dual focus on cloud and edge modernization translates technological investments into tangible business outcomes and operational efficiencies, setting the stage for future innovations.
AI-Ready Data Centers: Modernizing Manufacturing To Drive Innovation & Optimize Costs
SPEAKERS:
Shipra Malhotra, Managing Editor, ISMG (Moderator)
Girish Dhavale, CTO β Data Center Services, Sify Technologies Ltd.
Gautam Bakhru, Vice President, LOB Head Data Center Services, Sify Technologies Ltd.
Vijayakrishna Iyengar, Associate Vice President β IT, Bharat Fritz Werner Ltd. (BFW)
Neelesh Srivastava, Vice President – IT Operation / Compliance & Projects, Gati / Allcargo
DATE:
June 19, 2024 | 3:00 PM
DESCRIPTION:
The manufacturing industry is witnessing a seismic shift with the adoption of Industry 4.0, and in some cases even Industry 5.0, driving the modernization of manufacturing processes. The integration of cyber-physical systems, along with advancements in AI and advanced robotics, is facilitating real-time decision-making, agile operations, and the management of extensive data volumes while ensuring security.
But how equipped are data centers to accommodate the advanced computing and data centric infrastructure to support the advanced data analytics and AI-driven demands of modern manufacturing environments? Managing extensive volumes of data to enable real-time decision-making and adaptive operations requires advanced capabilities, making an efficient, scalable, secure, and interconnected datacenter design indispensable.
With AI-ready data centers at the core, the hybrid IT infrastructure must scale dynamically to accommodate production variations and new techniques, such as additive manufacturing, and IoT integration. Additionally, it should support advanced data analytics and AI-driven optimization of production lines and predictive maintenance. At the same time, it should minimize costs, enhance security for IT and OT systems, and reduce the carbon footprint of manufacturing operations.
This requires reimagining the data center architecture to support dynamic scaling, highly reliable network connectivity, robust business continuity, and stringent security and sustainability practices. Investing in a future-ready data center is a strategy imperative for manufacturing companies to stay competitive and innovative. This modernization is critical for a seamless transition into the future, positioning companies to capitalize on the opportunities presented by Industry 4.0 and Industry 5.0.
But how equipped are data centers to accommodate the advanced computing, data-centric and AI-ready infrastructure requirements of todayβs modern BFSI workload? Managing vast data volumes to support real-time decision-making and agile operations demands advanced capabilities that accommodate fluctuating market demands, innovations, rapid expansion and flexibility while safeguarding sensitive data.
An efficient, scalable, secure, sustainable, and interconnected data center design necessitates dynamic scaling, highly reliable network and connectivity, robust business continuity, and strong security and governance mechanisms. For IT leaders in the BFSI industry, investing in future-ready data centers is not merely a technological upgrade but a strategic imperative to position themselves at the forefront of innovation, ready to capitalize on the opportunities presented by the digital age.
