Strata Data Conference 2017 – New York & New York

What Was the Strata Data Conference 2017 – New York?

The Strata Data Conference 2017 – New York & New York stands as one of the most influential big data conferences of 2017, held at the prestigious Jacob K. Javits Convention Center in New York City during September 2017. Organized by O’Reilly Media, this premier data science event assembled over 340 leading data professionals, including renowned data scientists, machine learning engineers, business intelligence analysts, and C-suite executives from Fortune 500 companies.

This comprehensive video compilation provides unprecedented access to the complete Strata Data Conference 2017 New York experience, featuring 21 keynotes, 22 in-depth tutorials, and 189 specialized sessions covering 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 Programming

The Strata Data Conference 2017 – New York & New York video library includes all exclusive content from the Strata Business Summit – often referred to 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 harness data for competitive advantage.

Featured Industry Thought Leaders

Microsoft Principal Researcher danah boyd reveals critical insights into how data systems vulnerabilities are being exploited, providing essential knowledge for data governance and cybersecurity professionals.

Cathy O’Neil, bestselling author of “Weapons of Math Destruction,” delivers a compelling exposé on 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 call-to-action on 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 Case Studies

• 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

Exclusive Executive Briefings

The Strata Data Conference 2017 – New York & 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: Deep Dive into Financial Technology

Every Findata session from the Strata Data Conference 2017 – New York & 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

Target Audience: Who Should Access This 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.

Key Learning Outcomes and Professional Benefits

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

Technical Specifications and Conference Details

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 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

The Strata Data Conference 2017 – New York & New York video library represents an unparalleled educational resource for data professionals, business leaders, and technology innovators. This comprehensive collection delivers expert-level insights from industry-leading practitioners and academic researchers, providing practical knowledge that directly translates to career advancement and business success.

Key Differentiators:

• Complete conference coverage with 232 sessions from leading experts
• Executive-focused content including exclusive Business Summit programming
• Specialized financial technology insights through comprehensive Findata sessions
• Legal and compliance guidance from top-tier attorneys and regulatory experts
• Practical implementation strategies from Fortune 500 case studies
• Cutting-edge technical content covering AI, machine learning, and big data

Whether you’re a data scientist seeking to master advanced analytics, a business leader planning digital transformation, or a financial professional exploring algorithmic trading, this Strata Data Conference 2017 – New York & New York video compilation provides the expert knowledge and strategic insights necessary to excel in today’s data-driven economy.

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