Algoritma Data Innovation Conference
Connect with industry leaders, learn from the best, and be part of the future of data-driven innovation.
Connect with industry leaders, learn from the best, and be part of the future of data-driven innovation.
Friday, 19 January 2024
09.45 – 17.30 WIB
Jakarta Design Center
Jl. Gatot Subroto No.53, Tanah Abang, Jakarta Pusat, DKI Jakarta 10260
Networking Sessions
Data Experts
Panel & Keynote Sessions
Algoritma Data Innovation Conference is an event that focuses on technical discussions in the field of Data Science, Data Analytics, AI, and Machine Learning. Bringing together industry leaders, passionate data professionals, and data enthusiasts, this conference serves as a forum for groundbreaking innovations, transformative solutions, and exploration of the latest trends in data. In this event, attendees are guaranteed a deep dive into real-world applications, challenges, and the future trajectory of data-driven technologies.
Keynote Session
Keynote presentations will showcase the achievements of an organization that has successfully adopted a data-driven culture and transformed its operations to be analytics-focused.
Panel Discussion
This session will cover various aspects of implementing analytics, including aligning analytical strategies with business goals, selecting relevant metrics and data sources, and overcoming common challenges such as data quality and integration.
Q&A Session
Attendees will have the chance to interact with our panel of industry experts during the Q&A session. This interactive session will provide valuable insights and an opportunity to learn from the leaders in the field by asking questions and getting expert answers on the topic.
He is a highly skilled professional with a diverse background spanning data science, portfolio management, finance, and strategy. With a robust foundation in these areas, Ari has demonstrated expertise in working with prominent financial institutions, including State Street, the largest fund management company with assets totaling 36 trillion dollars.
Nayoko Wicaksono is a visionary entrepreneur with a profound commitment to advancing education and championing environmental sustainability. As the driving force behind Algoritma Data Science School, Nayoko has pioneered a transformative approach to practical data science education, empowering both individuals and corporations to thrive in the digital age.
Aisijah Kuswardani embarked on her journey in 2002 as an IT Audit Consultant at the small consultancy firm PT Audittindo. This role provided her with valuable experience as a data analyst, business analyst, and trainer.
Pingky Dezar Zulkarnain is a distinguished professional holding the position of Head of Big Data Analytics Laboratory and Chief of Information Technology Audit Support and Performance Management at BPK RI.
Edwin Simjaya is an AI expert and currently serves as the Head of AI & Software Center. With over 15 years of experience in software engineering and notable achievements in the field, Edwin has established himself as a professional in AI.
As VP of Business Analytics, PT. Bank Negara Indonesia, Handika has experience in Data & Analytics function, particularly in Banking & Finance industry.
A dynamic and results-oriented senior leader in the field of Data Analytics, Moh. Fardani Dzulhikam, has spent the majority of his career in the Telecommunication Industry, demonstrating expertise in end-to-end value creation through analytics.
His career started as an API Engineer at PT Abakus Informindo System, developing several APIs using the C++ programming language to read digital metering device information. Then in 2008, Irfan made a major career shift to become a software engineer at PT Bank Bukopin, Tbk. For almost 10 years at Bank Bukopin, he developed several banking software solutions
Juan Intan Kanggrawan is an analytics, product management, technocrat & business strategy professional with comprehensive 15++ years of exposure in business, government and technology. Lead team members consist of various teams/departments, such as: strategy, product, data, policy, tech/engineering, economics, research, partnership, operation.
With over 21 years of professional experience, Reza Pramono is a technology leader who has leveraged technology to deliver business value and competitive advantage in various industries. He has worked in the public health sector, e-commerce, and financial industry, where he has applied his expertise in innovation, strategy, and management.
09.45 – 10.00 Opening Speech |
10.00 – 10.45 Keynote Session I: Building Data Team 101 – Foundations for Success and Scalability |
10.45 – 11.45 Panel Discussion I: Are We Really Ready? – Organizational Readiness for Data-Driven Environment |
11.45 – 13.00 Lunch |
13.00 – 13.45 Keynote Session II: When Technology Meets Opportunity: Harnessing AI to Drive Business Innovation |
13.45 – 14.30 Keynote Session III: Synergizing Data Science and Human Element in Business Strategy |
14.30 – 15.30 Panel Discussion II: Building a Resilient Enterprise with Data: Risk Management and Contingency Planning |
15.30 – 16.15 Keynote Session IV: Building a Strong Analytics Infrastructure for Sustained Growth |
16.15 – 17.15 Panel Discussion III: Personalization in Products: Using Data Science to Boost User Experience |
17.15 – 17.30 Closing |
09.45 – 10.00 Opening Speech |
10.00 – 10.45 Keynote Session I: Building Data Team 101 – Foundations for Success and Scalability |
10.45 – 11.45 Panel Discussion I: Are We Really Ready? – Organizational Readiness for Data-Driven Environment |
11.45 – 13.00 Lunch |
13.00 – 13.45 Keynote Session II: When Technology Meets Opportunity: Harnessing AI to Drive Business Innovation |
13.45 – 14.30 Keynote Session III: Synergizing Data Science and Human Element in Business Strategy |
14.30 – 15.30 Panel Discussion II: Building a Resilient Enterprise with Data: Risk Management and Contingency Planning |
15.30 – 16.15 Keynote Session IV: Building a Strong Analytics Infrastructure for Sustained Growth |
16.15 – 17.15 Panel Discussion III: Personalization in Products: Using Data Science to Boost User Experience |
17.15 – 17.30 Closing |
PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
Office: 0816-692-471
Email: community@algorit.ma