BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:GMT Standard Time BEGIN:STANDARD DTSTART:16011028T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZOFFSETFROM:+0100 TZOFFSETTO:-0000 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010325T010000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZOFFSETFROM:-0000 TZOFFSETTO:+0100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CATEGORIES:Stage 4 CLASS:PUBLIC CREATED:20240430T155237Z DESCRIPTION:Presentation\nUsing Big-Data and AI to Accelerate Specialty Che micals Product Development\nhttps://www.chemicalukexpo.com/speakers/jun-li u/\n \nSpeaker\nJun Liu - Senior Marketing Manager - Revvity Signals Softw are\n \nAbout this presentation\nThe specialty chemical industry faces num erous challenges in the new product development (NPD) process\, ranging fr om resource-intensive research to complex formulation optimizations. Artif icial Intelligence (AI) emerges as a transformative toolbox\, offering unp recedented opportunities for innovation and efficiency. AI-driven algorith ms can expedite the identification of novel compounds by analysing vast da tasets\, accelerating the discovery phase. In formulation\, machine learni ng models enable predictive analytics\, optimizing ingredient combinations for enhanced performance and cost-effectiveness. Moreover\, AI enhances p rocess control\, ensuring consistency in production and minimizing waste. Collaborative AI platforms facilitate seamless communication among multidi sciplinary teams\, streamlining decision-making processes. As a result\, A I not only expedites time-to-market for new specialty chemicals but also s ignificantly reduces R&D costs. In this presentation\, the presenter will explore AI in the context of NPD process and explain why embracing AI prom ises a paradigm shift\, fostering innovation\, sustainability\, and compet itiveness in an ever-evolving market.\n DTEND;TZID="GMT Standard Time":20240516T134500 DTSTAMP:20240430T155237Z DTSTART;TZID="GMT Standard Time":20240516T133000 LAST-MODIFIED:20240430T155237Z LOCATION:Stage 4 PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-gb:Using Big-Data and AI to Accelerate Specialty Chemic als Product Development TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000C069079D9795DA01000000000000000 0100000001B711DBC43D0DA4683BD45A8E9A72D9B X-ALT-DESC;FMTTYPE=text/html:\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n

Presentation

U sing Big-Data and AI to Accelerate Specialty Chemicals Product Development

https://www.chemicalukexpo.com/speakers/jun-liu/

 \;

Speaker

Jun Liu - Senior Marketing Manager - Revvity Signals Softw are

 \;

About this presentation

The sp ecialty chemical industry faces numerous challenges in the new product dev elopment (NPD) process\, ranging from resource-intensive research to compl ex formulation optimizations. Artificial Intelligence (AI) emerges as a tr ansformative toolbox\, offering unprecedented opportunities for innovation and efficiency. AI-driven algorithms can expedite the identification of n ovel compounds by analysing vast datasets\, accelerating the discovery pha se. In formulation\, machine learning models enable predictive analytics\, optimizing ingredient combinations for enhanced performance and cost-effe ctiveness. Moreover\, AI enhances process control\, ensuring consistency i n production and minimizing waste. Collaborative AI platforms facilitate s eamless communication among multidisciplinary teams\, streamlining decisio n-making processes. As a result\, AI not only expedites time-to-market for new specialty chemicals but also significantly reduces R&\;D costs. In this presentation\, the presenter will explore AI in the context of NPD p rocess and explain why embracing AI promises a paradigm shift\, fostering innovation\, sustainability\, and competitiveness in an ever-evolving mark et.

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