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DTSTAMP:20260623T161319Z
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DTSTART;TZID=America/Los_Angeles:20260622T170000
DTEND;TZID=America/Los_Angeles:20260622T190000
DESCRIPTION:As Generative AI rapidly moves from experimentation into everyd
 ay workflows\, professionals across technical and business roles are disco
 vering new ways to improve productivity\, accelerate decision-making\, and
  reduce repetitive work. From software engineering and product management 
 to communication\, research\, and operations\, AI assistants are increasin
 gly becoming practical collaborators in day-to-day work.\n\nFollowing our 
 May session on “Security in AI\,” the IEEE Orange County Computer Soci
 ety GET-AI Series continues with a practical and demo-driven June session 
 focused on how AI is transforming productivity across the modern workplace
 .\n---------------------------------------------------------------\n\n🔒
  June Focus: Practical AI for Everyday Productivity\n\n[]\n\nAs AI becomes
  integrated into modern workflows\, organizations and individuals are leve
 raging AI tools to automate repetitive tasks\, generate content\, analyze 
 information\, accelerate software development\, and streamline collaborati
 on.\n\nThis session combines business and engineering perspectives to demo
 nstrate how AI assistants and coding copilots are reshaping the way teams 
 think\, build\, communicate\, and operate.\n\n----------------------------
 -----------------------------------\n\nSession 1: AI Productivity in Every
 day Workflows (45 mins)\n\nMost professionals spend a significant portion 
 of their workweek on repetitive tasks such as drafting emails\, writing do
 cuments\, debugging code\, summarizing meetings\, analyzing feedback\, or 
 preparing presentations.\n\nThis session demonstrates how AI assistants su
 ch as Claude can act as practical productivity partners across both techni
 cal and non-technical workflows.\n\nThrough live demonstrations\, attendee
 s will explore real-world scenarios including:\n\nEngineering Productivity
 \n\n- Understanding legacy code\n- Debugging production issues faster\n- G
 enerating features from natural language requirements\n- Writing unit test
 s and pull request summaries\n\nBusiness &amp; Product Productivity\n\n- Conve
 rting rough notes into structured PRDs\n- Extracting insights from custome
 r feedback\n- Drafting stakeholder communications\n- Preparing executive p
 resentations and interview guides\n\nThe session concludes with a live aud
 ience challenge where a real attendee workflow problem will be solved inte
 ractively using AI.\n\n👉 Takeaway: Learn practical prompting techniques
  and AI workflows that can immediately improve day-to-day productivity.\n-
 --------------------------------------------------------------\n\nSession 
 2: AI-Assisted Engineering &amp; Modern Software Development (45 mins)\n\nAI i
 s rapidly reshaping how engineers design\, build\, review\, deploy\, and o
 perate software systems. This session explores how AI is evolving from a c
 oding assistant into a practical engineering copilot across the software d
 elivery lifecycle.\n\nTopics include real-world usage of:\n\n- Codex\n- Cl
 ine\n- MCP-enabled development workflows\n- GitHub\, Bitbucket\, and Confl
 uence integrations\n\nThe session also explores how AI can accelerate:\n\n
 - Pull request reviews\n- Design documentation\n- Architecture visualizati
 on using Mermaid and draw.io\n- Test generation\n- Troubleshooting and deb
 ugging\n\nA key focus will be AI-assisted spec-driven development\, where 
 AI helps bridge business requirements\, technical specifications\, impleme
 ntation\, and deployment workflows.\n\nThe discussion includes:\n\n- Produ
 ctivity gains and engineering trade-offs\n- Reliability considerations\n- 
 Human oversight and governance\n- Practical lessons from enterprise adopti
 on\n\nRather than focusing on theoretical AI concepts\, this session empha
 sizes practical engineering workflows and actionable techniques that archi
 tects\, developers\, and technical leaders can immediately apply.\n\n👉 
 Takeaway: Understand how AI-assisted engineering workflows are transformin
 g modern software delivery and learn practical approaches for enterprise a
 doption.\n\n--------------------------------------------------------------
 -\n\nAbout the Organizer\n\nPradyumna Kodgi\nPrincipal Product Manager | O
 racle Health &amp; AI\nIEEE Senior Member | Vice Chair\, IEEE EMBS – Orange 
 County\nMember\, IEEE AI Agentic Systems &amp; AI Policy Committees\n\n📍 Ca
 lifornia\, USA\n📧 pkodgi@ieee.org\n🔗 linkedin.com/in/pkodgi\n\nCo-sp
 onsored by: Pradyumna Kodgi\n\nSpeaker(s): Pranay\, Venkatesh\n\nAgenda: \
 nAI-Powered Productivity: Practical AI for Everyday Productivity\n\nAI is 
 rapidly transforming how we work—from writing emails and generating repo
 rts to building applications\, analyzing data\, and accelerating software 
 delivery. As AI assistants evolve into intelligent copilots integrated int
 o everyday workflows\, the question is no longer just what AI can generate
 —but how we can use it effectively to improve productivity and decision-
 making.\n\nIn this interactive session\, we move beyond AI hype and explor
 e how modern AI tools are being used in practical\, real-world scenarios a
 cross both technical and business environments.\n\n🔍 What You’ll Expl
 ore\n\n- How Generative AI is reshaping modern work and productivity\n- Th
 e role of LLMs\, AI copilots\, coding agents\, and prompt-driven workflows
 \n- Practical applications of AI across engineering\, product management\,
  communication\, and operations\n- How AI-assisted tools can accelerate de
 velopment\, documentation\, research\, collaboration\, and decision-making
 \n\n💡 What Makes This Session Different\n\nThis is not just a theoretic
 al overview—you’ll see AI productivity workflows demonstrated live thr
 ough practical\, real-world examples.\n\nThrough interactive demos and wal
 kthroughs\, attendees will experience how AI can:\n\n- Generate applicatio
 ns from natural language prompts\n- Assist with coding\, debugging\, and d
 ocumentation\n- Transform rough ideas into structured business artifacts\n
 - Accelerate repetitive tasks and operational workflows\n\n🛠️ Practic
 al Takeaways\n\nYou’ll walk away with actionable techniques and framewor
 ks you can immediately apply\, including:\n\n- Writing more effective prom
 pts\n- Using AI assistants in day-to-day workflows\n- Leveraging coding co
 pilots and AI productivity tools\n- Combining human expertise with AI-assi
 sted automation\n\n🎯 Who Should Attend\n\n- Software engineers and deve
 lopers\n- Architects and technical leaders\n- Product managers and busines
 s professionals\n- Students and AI enthusiasts\n- Anyone interested in imp
 roving productivity using AI\n\n✨ What You’ll Walk Away With\n\n- A pr
 actical understanding of modern AI productivity workflows\n- Real-world ex
 amples of AI-assisted engineering and business operations\n- Hands-on insi
 ghts into prompt-driven application development\n- Strategies to responsib
 ly integrate AI into everyday work\n\nAs AI becomes increasingly integrate
 d into modern workflows\, productivity is no longer just about working har
 der—it’s about learning how to effectively collaborate with intelligen
 t systems. This session will help you understand how AI can become a pract
 ical copilot for modern work.\n\nVirtual: https://events.vtools.ieee.org/m
 /561306
LOCATION:Virtual: https://events.vtools.ieee.org/m/561306
ORGANIZER:pkodgi@ieee.org
SEQUENCE:32
SUMMARY:2026 GET-AI SERIES: 3 . Practical AI for Everyday Productivity
URL;VALUE=URI:https://events.vtools.ieee.org/m/561306
X-ALT-DESC:Description: &lt;br /&gt;&lt;p data-start=&quot;0&quot; data-end=&quot;409&quot;&gt;As Generativ
 e AI rapidly moves from experimentation into everyday workflows\, professi
 onals across technical and business roles are discovering new ways to impr
 ove productivity\, accelerate decision-making\, and reduce repetitive work
 . From software engineering and product management to communication\, rese
 arch\, and operations\, AI assistants are increasingly becoming practical 
 collaborators in day-to-day work.&lt;/p&gt;\n&lt;p data-start=&quot;411&quot; data-end=&quot;643&quot;&gt;
 Following our May session on &amp;ldquo\;&lt;strong&gt;Security in AI\,&lt;/strong&gt;&amp;rdq
 uo\; the IEEE Orange County Computer Society GET-AI Series continues with 
 a practical and demo-driven June session focused on how &lt;strong&gt;AI is tran
 sforming productivity across the modern workplace.&lt;/strong&gt;&lt;/p&gt;\n&lt;hr data-
 start=&quot;751&quot; data-end=&quot;754&quot;&gt;\n&lt;h2 data-section-id=&quot;7mtamf&quot; data-start=&quot;756&quot;
  data-end=&quot;795&quot;&gt;🔒 June Focus: Practical AI for Everyday Productivity&lt;br
 &gt;&lt;br&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/78fd
 7983-715b-4295-87c2-71cc46759a55&quot; alt=&quot;&quot; width=&quot;1367&quot; height=&quot;707&quot;&gt;&lt;/h2&gt;\n
 &lt;h2 data-section-id=&quot;1f9jw5j&quot; data-start=&quot;894&quot; data-end=&quot;937&quot;&gt;&amp;nbsp\;&lt;/h2&gt;
 \n&lt;p data-start=&quot;708&quot; data-end=&quot;941&quot;&gt;As AI becomes integrated into modern 
 workflows\, organizations and individuals are leveraging AI tools to autom
 ate repetitive tasks\, generate content\, analyze information\, accelerate
  software development\, and streamline collaboration.&lt;/p&gt;\n&lt;p data-start=&quot;
 943&quot; data-end=&quot;1123&quot;&gt;This session combines business and engineering perspe
 ctives to demonstrate how AI assistants and coding copilots are reshaping 
 the way teams think\, build\, communicate\, and operate.&lt;/p&gt;\n&lt;p data-star
 t=&quot;1166&quot; data-end=&quot;1308&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;hr data-start=&quot;1310&quot; data-end=&quot;1313
 &quot;&gt;\n&lt;h2 data-section-id=&quot;2oxqr3&quot; data-start=&quot;1130&quot; data-end=&quot;1203&quot;&gt;Session
  1: AI Productivity in Everyday Workflows (45 mins)&lt;/h2&gt;\n&lt;p data-start=&quot;1
 205&quot; data-end=&quot;1419&quot;&gt;Most professionals spend a significant portion of the
 ir workweek on repetitive tasks such as drafting emails\, writing document
 s\, debugging code\, summarizing meetings\, analyzing feedback\, or prepar
 ing presentations.&lt;/p&gt;\n&lt;p data-start=&quot;1421&quot; data-end=&quot;1573&quot;&gt;This session 
 demonstrates how AI assistants such as Claude can act as practical product
 ivity partners across both technical and non-technical workflows.&lt;/p&gt;\n&lt;p 
 data-start=&quot;1575&quot; data-end=&quot;1658&quot;&gt;Through live demonstrations\, attendees 
 will explore real-world scenarios including:&lt;/p&gt;\n&lt;h3 data-section-id=&quot;46f
 i27&quot; data-start=&quot;1660&quot; data-end=&quot;1688&quot;&gt;Engineering Productivity&lt;/h3&gt;\n&lt;ul 
 data-start=&quot;1689&quot; data-end=&quot;1866&quot;&gt;\n&lt;li data-section-id=&quot;qle6dw&quot; data-star
 t=&quot;1689&quot; data-end=&quot;1718&quot;&gt;Understanding legacy code&lt;/li&gt;\n&lt;li data-section-
 id=&quot;rrns2o&quot; data-start=&quot;1719&quot; data-end=&quot;1757&quot;&gt;Debugging production issues 
 faster&lt;/li&gt;\n&lt;li data-section-id=&quot;30sm0o&quot; data-start=&quot;1758&quot; data-end=&quot;1816
 &quot;&gt;Generating features from natural language requirements&lt;/li&gt;\n&lt;li data-se
 ction-id=&quot;1mplmx2&quot; data-start=&quot;1817&quot; data-end=&quot;1866&quot;&gt;Writing unit tests an
 d pull request summaries&lt;/li&gt;\n&lt;/ul&gt;\n&lt;h3 data-section-id=&quot;58vihp&quot; data-st
 art=&quot;1868&quot; data-end=&quot;1903&quot;&gt;Business &amp;amp\; Product Productivity&lt;/h3&gt;\n&lt;ul 
 data-start=&quot;1904&quot; data-end=&quot;2097&quot;&gt;\n&lt;li data-section-id=&quot;1qe8t2b&quot; data-sta
 rt=&quot;1904&quot; data-end=&quot;1951&quot;&gt;Converting rough notes into structured PRDs&lt;/li&gt;
 \n&lt;li data-section-id=&quot;aud9kb&quot; data-start=&quot;1952&quot; data-end=&quot;1998&quot;&gt;Extractin
 g insights from customer feedback&lt;/li&gt;\n&lt;li data-section-id=&quot;lx1yr2&quot; data-
 start=&quot;1999&quot; data-end=&quot;2038&quot;&gt;Drafting stakeholder communications&lt;/li&gt;\n&lt;li
  data-section-id=&quot;1og0ozm&quot; data-start=&quot;2039&quot; data-end=&quot;2097&quot;&gt;Preparing exe
 cutive presentations and interview guides&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p data-start=&quot;2099
 &quot; data-end=&quot;2229&quot;&gt;The session concludes with a live audience challenge whe
 re a real attendee workflow problem will be solved interactively using AI.
 &lt;/p&gt;\n&lt;p data-start=&quot;2231&quot; data-end=&quot;2351&quot;&gt;👉 Takeaway: Learn practical 
 prompting techniques and AI workflows that can immediately improve day-to-
 day productivity.&lt;/p&gt;\n&lt;hr data-start=&quot;2353&quot; data-end=&quot;2356&quot;&gt;\n&lt;h2 data-se
 ction-id=&quot;1ndkxvh&quot; data-start=&quot;2358&quot; data-end=&quot;2435&quot;&gt;Session 2: AI-Assiste
 d Engineering &amp;amp\; Modern Software Development (45 mins)&lt;/h2&gt;\n&lt;p data-s
 tart=&quot;2437&quot; data-end=&quot;2677&quot;&gt;AI is rapidly reshaping how engineers design\,
  build\, review\, deploy\, and operate software systems. This session expl
 ores how AI is evolving from a coding assistant into a practical engineeri
 ng copilot across the software delivery lifecycle.&lt;/p&gt;\n&lt;p data-start=&quot;267
 9&quot; data-end=&quot;2714&quot;&gt;Topics include real-world usage of:&lt;/p&gt;\n&lt;ul data-start
 =&quot;2715&quot; data-end=&quot;2823&quot;&gt;\n&lt;li data-section-id=&quot;5qlfwd&quot; data-start=&quot;2715&quot; d
 ata-end=&quot;2724&quot;&gt;Codex&lt;/li&gt;\n&lt;li data-section-id=&quot;96egmd&quot; data-start=&quot;2725&quot; 
 data-end=&quot;2734&quot;&gt;Cline&lt;/li&gt;\n&lt;li data-section-id=&quot;1j9dzhp&quot; data-start=&quot;2735
 &quot; data-end=&quot;2772&quot;&gt;MCP-enabled development workflows&lt;/li&gt;\n&lt;li data-section
 -id=&quot;1tcsux6&quot; data-start=&quot;2773&quot; data-end=&quot;2823&quot;&gt;GitHub\, Bitbucket\, and C
 onfluence integrations&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p data-start=&quot;2825&quot; data-end=&quot;2873&quot;&gt;T
 he session also explores how AI can accelerate:&lt;/p&gt;\n&lt;ul data-start=&quot;2874&quot;
  data-end=&quot;3034&quot;&gt;\n&lt;li data-section-id=&quot;qk2il1&quot; data-start=&quot;2874&quot; data-end
 =&quot;2898&quot;&gt;Pull request reviews&lt;/li&gt;\n&lt;li data-section-id=&quot;1xjfemg&quot; data-star
 t=&quot;2899&quot; data-end=&quot;2923&quot;&gt;Design documentation&lt;/li&gt;\n&lt;li data-section-id=&quot;m
 11wux&quot; data-start=&quot;2924&quot; data-end=&quot;2980&quot;&gt;Architecture visualization using 
 Mermaid and draw.io&lt;/li&gt;\n&lt;li data-section-id=&quot;17gobrs&quot; data-start=&quot;2981&quot; 
 data-end=&quot;3000&quot;&gt;Test generation&lt;/li&gt;\n&lt;li data-section-id=&quot;1a3ikz1&quot; data-s
 tart=&quot;3001&quot; data-end=&quot;3034&quot;&gt;Troubleshooting and debugging&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p 
 data-start=&quot;3036&quot; data-end=&quot;3205&quot;&gt;A key focus will be AI-assisted spec-dri
 ven development\, where AI helps bridge business requirements\, technical 
 specifications\, implementation\, and deployment workflows.&lt;/p&gt;\n&lt;p data-s
 tart=&quot;3207&quot; data-end=&quot;3231&quot;&gt;The discussion includes:&lt;/p&gt;\n&lt;ul data-start=&quot;
 3232&quot; data-end=&quot;3394&quot;&gt;\n&lt;li data-section-id=&quot;elj0mn&quot; data-start=&quot;3232&quot; dat
 a-end=&quot;3281&quot;&gt;Productivity gains and engineering trade-offs&lt;/li&gt;\n&lt;li data-
 section-id=&quot;1h58trx&quot; data-start=&quot;3282&quot; data-end=&quot;3312&quot;&gt;Reliability conside
 rations&lt;/li&gt;\n&lt;li data-section-id=&quot;5u98d&quot; data-start=&quot;3313&quot; data-end=&quot;3347
 &quot;&gt;Human oversight and governance&lt;/li&gt;\n&lt;li data-section-id=&quot;xlp5fp&quot; data-s
 tart=&quot;3348&quot; data-end=&quot;3394&quot;&gt;Practical lessons from enterprise adoption&lt;/li
 &gt;\n&lt;/ul&gt;\n&lt;p data-start=&quot;3396&quot; data-end=&quot;3600&quot;&gt;Rather than focusing on the
 oretical AI concepts\, this session emphasizes practical engineering workf
 lows and actionable techniques that architects\, developers\, and technica
 l leaders can immediately apply.&lt;/p&gt;\n&lt;p data-start=&quot;3602&quot; data-end=&quot;3761&quot;
 &gt;👉 Takeaway: Understand how AI-assisted engineering workflows are trans
 forming modern software delivery and learn practical approaches for enterp
 rise adoption.&lt;/p&gt;\n&lt;p data-start=&quot;2701&quot; data-end=&quot;2783&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;hr 
 data-start=&quot;2785&quot; data-end=&quot;2788&quot;&gt;\n&lt;h2 data-section-id=&quot;14d6kv4&quot; data-sta
 rt=&quot;2790&quot; data-end=&quot;2812&quot;&gt;About the Organizer&lt;/h2&gt;\n&lt;p data-start=&quot;2814&quot; d
 ata-end=&quot;3002&quot;&gt;&lt;strong data-start=&quot;2814&quot; data-end=&quot;2833&quot;&gt;Pradyumna Kodgi&lt;/
 strong&gt;&lt;br data-start=&quot;2833&quot; data-end=&quot;2836&quot;&gt;Principal Product Manager | O
 racle Health &amp;amp\; AI&lt;br data-start=&quot;2882&quot; data-end=&quot;2885&quot;&gt;IEEE Senior Me
 mber | Vice Chair\, IEEE EMBS &amp;ndash\; Orange County&lt;br data-start=&quot;2943&quot; 
 data-end=&quot;2946&quot;&gt;Member\, IEEE AI Agentic Systems &amp;amp\; AI Policy Committe
 es&lt;/p&gt;\n&lt;p data-start=&quot;3004&quot; data-end=&quot;3073&quot;&gt;📍 California\, USA&lt;br data
 -start=&quot;3022&quot; data-end=&quot;3025&quot;&gt;📧 &lt;a class=&quot;decorated-link cursor-pointer
 &quot; rel=&quot;noopener&quot; data-start=&quot;3028&quot; data-end=&quot;3043&quot;&gt;pkodgi@ieee.org&lt;/a&gt;&lt;br 
 data-start=&quot;3043&quot; data-end=&quot;3046&quot;&gt;🔗 linkedin.com/in/pkodgi&lt;/p&gt;&lt;br /&gt;&lt;br
  /&gt;Agenda: &lt;br /&gt;&lt;h2 data-section-id=&quot;1cbav6o&quot; data-start=&quot;138&quot; data-end=&quot;
 187&quot;&gt;&amp;nbsp\;&lt;/h2&gt;\n&lt;h2 data-section-id=&quot;oxesew&quot; data-start=&quot;0&quot; data-end=&quot;6
 8&quot;&gt;AI-Powered Productivity: Practical AI for Everyday Productivity&lt;/h2&gt;\n&lt;
 p data-start=&quot;70&quot; data-end=&quot;446&quot;&gt;AI is rapidly transforming how we work&amp;md
 ash\;from writing emails and generating reports to building applications\,
  analyzing data\, and accelerating software delivery. As AI assistants evo
 lve into intelligent copilots integrated into everyday workflows\, the que
 stion is no longer just what AI can generate&amp;mdash\;but how we can use it 
 effectively to improve productivity and decision-making.&lt;/p&gt;\n&lt;p data-star
 t=&quot;448&quot; data-end=&quot;630&quot;&gt;In this interactive session\, we move beyond AI hyp
 e and explore how modern AI tools are being used in practical\, real-world
  scenarios across both technical and business environments.&lt;/p&gt;\n&lt;p data-s
 tart=&quot;632&quot; data-end=&quot;654&quot;&gt;🔍 What You&amp;rsquo\;ll Explore&lt;/p&gt;\n&lt;ul data-st
 art=&quot;655&quot; data-end=&quot;1005&quot;&gt;\n&lt;li data-section-id=&quot;1v23w92&quot; data-start=&quot;655&quot;
  data-end=&quot;716&quot;&gt;How Generative AI is reshaping modern work and productivit
 y&lt;/li&gt;\n&lt;li data-section-id=&quot;1vtgx7p&quot; data-start=&quot;717&quot; data-end=&quot;792&quot;&gt;The 
 role of LLMs\, AI copilots\, coding agents\, and prompt-driven workflows&lt;/
 li&gt;\n&lt;li data-section-id=&quot;17oaelo&quot; data-start=&quot;793&quot; data-end=&quot;893&quot;&gt;Practic
 al applications of AI across engineering\, product management\, communicat
 ion\, and operations&lt;/li&gt;\n&lt;li data-section-id=&quot;3ilhnh&quot; data-start=&quot;894&quot; d
 ata-end=&quot;1005&quot;&gt;How AI-assisted tools can accelerate development\, document
 ation\, research\, collaboration\, and decision-making&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p dat
 a-start=&quot;1007&quot; data-end=&quot;1043&quot;&gt;&lt;strong&gt;💡 What Makes This Session Differ
 ent&lt;/strong&gt;&lt;/p&gt;\n&lt;p data-start=&quot;1045&quot; data-end=&quot;1179&quot;&gt;This is not just a 
 theoretical overview&amp;mdash\;you&amp;rsquo\;ll see AI productivity workflows de
 monstrated live through practical\, real-world examples.&lt;/p&gt;\n&lt;p data-star
 t=&quot;1181&quot; data-end=&quot;1262&quot;&gt;Through interactive demos and walkthroughs\, atte
 ndees will experience how AI can:&lt;/p&gt;\n&lt;ul data-start=&quot;1263&quot; data-end=&quot;148
 2&quot;&gt;\n&lt;li data-section-id=&quot;87cld4&quot; data-start=&quot;1263&quot; data-end=&quot;1316&quot;&gt;Genera
 te applications from natural language prompts&lt;/li&gt;\n&lt;li data-section-id=&quot;2
 g36iq&quot; data-start=&quot;1317&quot; data-end=&quot;1367&quot;&gt;Assist with coding\, debugging\, 
 and documentation&lt;/li&gt;\n&lt;li data-section-id=&quot;f973mn&quot; data-start=&quot;1368&quot; dat
 a-end=&quot;1426&quot;&gt;Transform rough ideas into structured business artifacts&lt;/li&gt;
 \n&lt;li data-section-id=&quot;17zvk8r&quot; data-start=&quot;1427&quot; data-end=&quot;1482&quot;&gt;Accelera
 te repetitive tasks and operational workflows&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p data-start=&quot;
 1484&quot; data-end=&quot;1507&quot;&gt;&lt;strong&gt;🛠️ Practical Takeaways&lt;/strong&gt;&lt;/p&gt;\n&lt;p
  data-start=&quot;1509&quot; data-end=&quot;1605&quot;&gt;You&amp;rsquo\;ll walk away with actionable
  techniques and frameworks you can immediately apply\, including:&lt;/p&gt;\n&lt;ul
  data-start=&quot;1607&quot; data-end=&quot;1796&quot;&gt;\n&lt;li data-section-id=&quot;bnuuv3&quot; data-sta
 rt=&quot;1607&quot; data-end=&quot;1639&quot;&gt;Writing more effective prompts&lt;/li&gt;\n&lt;li data-se
 ction-id=&quot;dnv0al&quot; data-start=&quot;1640&quot; data-end=&quot;1685&quot;&gt;Using AI assistants in
  day-to-day workflows&lt;/li&gt;\n&lt;li data-section-id=&quot;e0iasn&quot; data-start=&quot;1686&quot;
  data-end=&quot;1740&quot;&gt;Leveraging coding copilots and AI productivity tools&lt;/li&gt;
 \n&lt;li data-section-id=&quot;147hn84&quot; data-start=&quot;1741&quot; data-end=&quot;1796&quot;&gt;Combinin
 g human expertise with AI-assisted automation&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p data-start=&quot;
 1798&quot; data-end=&quot;1818&quot;&gt;&lt;strong&gt;🎯 Who Should Attend&lt;/strong&gt;&lt;/p&gt;\n&lt;ul dat
 a-start=&quot;1819&quot; data-end=&quot;2020&quot;&gt;\n&lt;li data-section-id=&quot;wf0ear&quot; data-start=&quot;
 1819&quot; data-end=&quot;1854&quot;&gt;Software engineers and developers&lt;/li&gt;\n&lt;li data-sec
 tion-id=&quot;1cxfcd8&quot; data-start=&quot;1855&quot; data-end=&quot;1889&quot;&gt;Architects and technic
 al leaders&lt;/li&gt;\n&lt;li data-section-id=&quot;h3buye&quot; data-start=&quot;1890&quot; data-end=&quot;
 1935&quot;&gt;Product managers and business professionals&lt;/li&gt;\n&lt;li data-section-i
 d=&quot;166dlb0&quot; data-start=&quot;1936&quot; data-end=&quot;1965&quot;&gt;Students and AI enthusiasts&lt;
 /li&gt;\n&lt;li data-section-id=&quot;aagj2z&quot; data-start=&quot;1966&quot; data-end=&quot;2020&quot;&gt;Anyon
 e interested in improving productivity using AI&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p data-start
 =&quot;2022&quot; data-end=&quot;2050&quot;&gt;&lt;strong&gt;✨ What You&amp;rsquo\;ll Walk Away With&lt;/str
 ong&gt;&lt;/p&gt;\n&lt;ul data-start=&quot;2051&quot; data-end=&quot;2310&quot;&gt;\n&lt;li data-section-id=&quot;18d
 a5e8&quot; data-start=&quot;2051&quot; data-end=&quot;2114&quot;&gt;A practical understanding of moder
 n AI productivity workflows&lt;/li&gt;\n&lt;li data-section-id=&quot;10x2c6u&quot; data-start
 =&quot;2115&quot; data-end=&quot;2187&quot;&gt;Real-world examples of AI-assisted engineering and
  business operations&lt;/li&gt;\n&lt;li data-section-id=&quot;d5bn1b&quot; data-start=&quot;2188&quot; 
 data-end=&quot;2250&quot;&gt;Hands-on insights into prompt-driven application developme
 nt&lt;/li&gt;\n&lt;li data-section-id=&quot;359sgh&quot; data-start=&quot;2251&quot; data-end=&quot;2310&quot;&gt;St
 rategies to responsibly integrate AI into everyday work&lt;/li&gt;\n&lt;/ul&gt;\n&lt;p da
 ta-start=&quot;2312&quot; data-end=&quot;2594&quot; data-is-last-node=&quot;&quot; data-is-only-node=&quot;&quot;&gt;
 As AI becomes increasingly integrated into modern workflows\, productivity
  is no longer just about working harder&amp;mdash\;it&amp;rsquo\;s about learning 
 how to effectively collaborate with intelligent systems. This session will
  help you understand how AI can become a practical copilot for modern work
 .&lt;/p&gt;\n&lt;p data-start=&quot;2076&quot; data-end=&quot;2296&quot;&gt;&amp;nbsp\;&lt;/p&gt;
END:VEVENT
END:VCALENDAR