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PRODID:www.techmahindra.com
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UID:69d3055dca1b2
DTSTART;VALUE=DATE:20200617
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20200618
SUMMARY:Analytics Platfrom for Operationalising Machine Learing
CLASS:PUBLIC
DESCRIPTION:<p>Data science is shaping modern businesses into data-driven o
 rganisations\, with data at the epicenter of boosted profits\, saved costs
 \, and industry disruption. Handling and managing Big Data has emerged as 
 a key modern competitive advantage. Hence\, having and maintaining a prope
 r analytics platform is crucial for the development and growth of an organ
 isation. But managing and analyzing all that data comes at a cost. Advance
 d analytics and machine learning projects only show benefits when put into
  production operation.</p><p>Modern Organisations are looking to build a p
 latform that can facilitate operationalising advanced analytics\, includin
 g machine learning\, and build deeper predictive analytics into their prod
 ucts &amp\; services.</p><p>Join us for a discussion where industry speake
 rs from Philips\, Micro Focus &amp\; Tech Mahindra will present the intric
 acies of establishing an analytics platform that can build a culture of ad
 vanced big data analytics that help successfully operationalise machine le
 arning:</p><ul><li>How to identify the right fit analytics platforms to su
 pport ML</li><li>How to systematically productize machine learning &amp\; 
 deploy analytical insights</li><li>The skills and resources needed for suc
 cessfully setting up an analytics</li><li>The maintainability and scalabil
 ity challenges</li><li>Recommendations for data and analytics leaders</li>
 </ul>
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DTSTAMP:20260406T005909Z
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