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ChatGPT was only the beginning. Generative AI is now revolutionizing every industry.
As the race to adopting AI tools intensifies, the decisions we make today about AI will likely shape our success for decades to come.
To learn how the world’s data and AI leaders are adapting to this new era, join DataCamp on June 26–27 for RADAR: AI—a two-day digital event exploring how businesses and individuals can unlock their full potential with AI.
From scaling AI within your organization and driving innovation to navigating the evolving job market, uncover practical steps to implement in your career or organization to maximize the power of generative AI.
A star-studded agenda:
Including voices from GitHub, Dropbox, PwC, Hugging Face, Accenture, and many more, unpack how AI is evolving and how you can take advantage.
A peak at what to you can expect:
June 27, 2024 (all times EDT):
9:00–9:45
Welcome to RADAR!
Jonathan Cornelissen, Co-Founder & CEO, DataCamp
9:50–10:35
Generative AI in Practice: 100+ Amazing Ways Generative AI is Changing Business and Society
Bernard Marr, World-renowned Futurist, AI Advisor, and Author of “Generative AI in Practice”, Bernard Marr & Co
10:50–11:35
From Learning to Earning: Navigating the AI Job Landscape
Sadie St Lawrence, Founder & CEO at Women in Data, and Megan Finck,
Global Head of Talent Acquisition—Engineering, IT and Data Analytics, Boeing
11:40–12:25
Generative AI: Trends, Impact, and Practical Applications for 2024
Principal, Insight Partners, and Sandhya Venkatachalam, Partner, Axiom Partners
12:40–1:25
The High Cost of AI Hype
Eric Siegel, Founder of Machine Learning Week, Prediction Impact
1:30–2:15
Building Tomorrow’s Workforce, Today: Scaling Internal AI Academies
Mike Baylor, CDAO, Lockheed Martin, Carolann Diskin, Senior Technical Program Manager, Dropbox, Matthew Graviss, and CDAIO, U.S. Department of State
2:20–3:05
Scaling Data Quality in the Age of Generative AI
Barr Moses, CEO, Monte Carlo Data, Prukalpa Sankar, Co-founder, Atlan, and George Fraser CEO, Fivetran
June 27, 2024
9:00–9:45
Building Trust in AI: Scaling Responsible AI Within Your Organization
Haniyeh Mahmoudian, Chief AI Ethicist at Datarobot, Eske Montoya Martinez van Egerschot, Chief AI Governance and Ethics at DigiDiplomacy, Associate Partner at Meines Holla & Partners, and Alexandra Ebert, Chief Trust Officer at MOSTLY AI
9:50–10:35
Leading with AI: Leadership Insights on Driving Successful AI Transformation
Chandra Donelson, Chief Data and Analytics Officer at United States Air Force, Semih Kumluk, Head of AI and Digital at PwC, and Giorleny Altamirano Rayo
10:50–11:35
The Future of Programming: Accelerating Coding Workflows with LLMs
Michele Catasta, VP of AI at Replit, Jordan Tigani, CEO at Mother Duck, and Ryan J. Salva, VP of Product at GitHub
11:40–12:25
Hugging Face and the Future of the Open Source AI Ecosystem
Julien Simon, Chief Evangelist at Hugging Face
12:40–13:25
Building an AI Strategy: Key Steps for Aligning AI with Business Goals
Vin Vashishta, AI Advisor and Founder of V Squared, Cindi Howson, Chief Data Strategy Officer at ThoughtSpot, and Sonali Bhavsar, Managing Director at Accenture
13:30–14:15
Charting the Path: What the Future Holds for Generative AI
Edo Liberty, CEO at Pinecone, Tomasz Tunguz, General Partner at Theory Ventures, and Nick Elprin, CEO at Domino Data Lab
14:20–15:05
Closing Session & AMA
DataCamp’s Co-founders, Jonathan Cornelissen, CEO, and, Martijn Theuwissen, COO
Once again, RADAR AI is free for everyone
Radar: AI is more than just another AI conference, but a place to connect with like-minded individuals and organizations. Whether you’re a data scientist, business leader, or just AI-curious, Radar: AI Edition offers something for everyone.
Don’t let the data and AI revolution pass you by.
Free DataCamp Online Conference: Radar: AI Edition, June 26–27, 2024 was first posted on May 17, 2024 at 1:29 pm.
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Continue reading: Free DataCamp Online Conference: Radar: AI Edition, June 26–27, 2024
Generative AI: An Era of Transformation and Its Implications
Generative AI is no longer a futuristic term, but a contemporary reality that is revolutionizing every industry. The recent advancement of AI tools like ChatGPT is reshaping the way businesses operate and is setting the tone for our technological future. Recognizing and understanding this revolution, how to adopt and adapt to it will likely determine the success of companies and individuals in the coming decades.
The Significance of Understanding Generative AI
Generative AI can innovate ways businesses operate and provide solutions to complex problems. Not only can it accelerate growth, but it can also increase the accuracy and efficiency of decision-making processes. For individuals, understanding and mastering AI technology can open up numerous career opportunities in the evolving job market.
The increasing transformation of businesses calls for recognizing the power and necessity of generative AI. However, it’s equally crucial to comprehend the hype and misconceptions surrounding AI. It’s essential to differentiate between the real potential and false claims of AI advancement to leverage its actual benefits.
Future Developments
Generative AI is set to propel the future of programming by accelerating coding workflows. Open-source AI ecosystems also look promising for future developments, encouraging growth, inclusivity, and innovation within the AI community. Organizations must align their AI strategies with their business objectives to make the most of these future advancements.
Moreover, transparency and trust form the backbone of successful AI adoption within an organization. As a machine learning model learns from data, ensuring data quality is vital. Responsible AI, data governance, and ethical considerations will assume greater significance as they directly impact AI’s effectiveness within an organization.
Actionable Advice
- Stay Informed: Keep abreast of the latest developments in AI. Participate in conferences, seminars, and webinars that allow networking opportunities with AI leaders across industries.
- Strategize AI Adoption: Formulate a clear strategy for AI adoption in line with the organization’s vision and goals. This would involve training, investments, and meticulous implementation plans.
- Quality over Quantity: It’s crucial to understand that not all AI is useful AI. Differentiating between hype and reality can save resources and help focus on quality AI that can truly benefit the organization.
- Ensure Ethical AI and Trust: Practising responsible AI includes considerations of fairness, transparency, and ethics. Building trust in AI tools plays a critical role in their successful adoption.
- Quality Data: Accurate AI outcomes require quality data. Ensuring data quality should be one of the primary considerations when adopting AI tools.
In conclusion, widespread generative AI adoption will undoubtedly shape our future success. While the landscape is changing at an incredible pace, diligent preparation and strategy can help individuals and businesses navigate this revolution successfully. Building trust in AI tools, understanding their practical applications, and aligning them with business goals is the key to unlocking the full potential of AI technology.