Strata Data Conference 2017 – New York: The Ultimate Big Data Experience
What Was The Strata Data Conference 2017 – New York?
Strata Data Conference 2017 – New York stands as the premier big data conference of 2017, hosted at the Jacob K. Javits Convention Center in New York City during September 2017. This influential data science event, organized by O’Reilly Media, brought together over 340 leading data professionals, including renowned data scientists, machine learning engineers, business intelligence analysts, and C-suite executives from Fortune 500 companies.
Our comprehensive video compilation delivers unparalleled access to the complete Strata Data Conference 2017 – New York experience, featuring:
- 21 groundbreaking keynotes
- 22 hands-on tutorials
- 189 specialized technical sessions
These sessions cover cutting-edge topics in artificial intelligence, predictive analytics, cybersecurity, cloud computing strategy, data engineering, Apache Hadoop, machine learning algorithms, Internet of Things (IoT), real-time stream processing, and advanced data visualization.
Exclusive Strata Business Summit: The Missing MBA for Data-Driven Leaders
The Strata Data Conference 2017 – New York video library includes all exclusive content from the Strata Business Summit – widely recognized as “the missing MBA for data-driven business.” This executive-focused track features 25 specialized sessions designed specifically for C-suite executives, business leaders, and corporate strategists seeking to leverage data for competitive advantage.
Visionary Thought Leaders at Strata New York 2017
Microsoft Principal Researcher danah boyd reveals critical insights into data systems vulnerabilities and exploitation tactics, providing essential knowledge for data governance and cybersecurity professionals.
Cathy O’Neil, bestselling author of “Weapons of Math Destruction,” delivers a compelling analysis of how mathematical models and algorithmic decision-making shape our future – essential viewing for data ethics and responsible AI practitioners.
Tim O’Reilly (O’Reilly Media founder) presents a strategic roadmap for business’s crucial role in developing an AI-centered future that benefits all stakeholders – particularly valuable for technology leaders planning digital transformation initiatives.
Enterprise Data Strategy: Real-World Case Studies
The Strata Data Conference 2017 – New York features industry pioneers sharing practical implementation strategies:
- Evan Levy (SAS): Outlines the five essential components of a comprehensive enterprise data strategy
- Atul Dalmia (American Express): Detailed case study on how Amex successfully drove enterprise adoption of big data technologies
- Tobi Bosede (Johns Hopkins): Practical applications of Apache Spark in algorithmic trading and financial modeling
Executive Briefings: Strategic Insights for Decision Makers
The Strata Data Conference 2017 – New York video collection includes eleven exclusive Executive Briefings from top-tier legal and technology experts:
Legal and Compliance Expertise:
- Alysa Hutnik (Kelley Drye & Warren LLP): Best practices for data compliance and legal frameworks for enterprise data utilization
Business Intelligence and Data Valuation:
- Bill Schmarzo (Dell EMC): Proven methodologies for determining the economic value of business data assets
Findata Sessions: Financial Technology Innovation
Every Findata session from the Strata Data Conference 2017 – New York is included in this comprehensive compilation. These sessions focus on the finance industry’s most disruptive data technologies and feature insider reports from leading quantitative analysts and financial strategists:
Featured Fintech Experts and Topics
- Jason Morton (Ascendant): Advanced algorithmic trading strategies
- Robert Passarella (Protégé Partners): Hedge fund analytics and portfolio optimization
- Jike Chong (Tsinghua University): Academic perspectives on financial machine learning
- Jessica Stauth (Quantopian): Crowd-sourced investment research platforms
- Abraham Thomas (Quandl): Alternative data for financial modeling
- Tanvi Singh (Credit Suisse): Investment banking applications of big data
- José Ribau (CIBC): Banking sector data transformation strategies
- Leigh Drogen (Estimize): Earnings prediction models and financial forecasting
Specialized Financial Topics Covered:
- Real estate valuation algorithms
- Market manipulation detection (spoofing and layering)
- Regulatory compliance in financial data
- Risk management through predictive analytics
Who Benefits from Strata Data Conference 2017 – New York Content?
1. Data Scientists and Machine Learning Engineers
Data professionals seeking to advance their expertise in statistical modeling, machine learning algorithms, and data engineering will find invaluable insights from industry leaders. Learn about cutting-edge tools and methodologies that enhance data processing efficiency and model accuracy.
2. Business Leaders and C-Suite Executives
Executive leadership can leverage these sessions to understand how data-driven decision making transforms business outcomes. Gain strategic insights into digital transformation, competitive intelligence, and revenue optimization through advanced analytics.
3. Financial Services Professionals
Finance professionals including quantitative analysts, risk managers, investment professionals, and fintech developers will benefit from specialized content covering algorithmic trading, fraud detection, and regulatory compliance.
4. Software Developers and Technology Architects
Technical professionals building data infrastructure and analytics platforms can learn about the latest developments in Apache Spark, Hadoop ecosystems, cloud computing, and distributed systems architecture.
5. Legal and Compliance Specialists
Legal professionals and compliance officers working in data governance, privacy regulations, and risk management will gain essential knowledge about data protection laws and regulatory frameworks.
Professional Development Outcomes from Strata Data Conference 2017 – New York
Advanced Technical Knowledge
- Master emerging data technologies and analytical frameworks
- Understand machine learning implementation at enterprise scale
- Learn real-time data processing and streaming analytics
- Gain expertise in cloud-based data architectures
Enhanced Analytical Capabilities
- Develop predictive modeling and forecasting skills
- Master statistical analysis and data visualization techniques
- Understand artificial intelligence applications in business
- Learn automated decision-making systems
Strategic Business Intelligence
- Transform raw data into actionable business insights
- Develop data-driven strategies for competitive advantage
- Understand customer analytics and market intelligence
- Learn performance optimization through data analysis
Industry-Specific Applications
- Healthcare data analytics and medical research
- Financial modeling and risk assessment
- Supply chain optimization and logistics analytics
- Marketing automation and customer segmentation
Strata Data Conference 2017 – New York: Event Details
- Date: September 2017
- Location: Jacob K. Javits Convention Center, New York City
- Organizer: O’Reilly Media
- Attendance: 340+ data professionals
- Content: 21 keynotes, 22 tutorials, 189 sessions
Video Library Technical Specifications
- Total Sessions: 232 complete presentations
- Content Categories: AI, Machine Learning, Big Data, Analytics, Cloud Computing
- Target Industries: Finance, Healthcare, Technology, Retail, Manufacturing
- Skill Levels: Beginner to Expert
- Access Format: Complete video compilation
Conclusion: Why Strata Data Conference 2017 – New York Matters
The Strata Data Conference 2017 – New York stands as the definitive resource for data professionals seeking to elevate their expertise and drive organizational value through data innovation. With its unparalleled concentration of industry experts, practical case studies, and actionable insights, this comprehensive video collection delivers exceptional educational value for data practitioners and business leaders alike.
What sets the Strata Data Conference 2017 – New York apart is its unique blend of technical depth and business application, making it an essential resource for anyone invested in the future of data science, machine learning, and artificial intelligence. By providing access to this wealth of knowledge, organizations can accelerate their data transformation journey and gain a significant competitive advantage in today’s data-driven business landscape.
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