
The Trends Influencing Tomorrow's Data Analytics
Eric Mizell, vice president of global solution engineering at Kinetica, discusses how technologies such as machine learning, deep learning and natural language processing (NLP) will influence the future of data analytics.
1. Need for Algorithmic Economy
Humans and current systems are unable to act on the size, shape, and speed of data from newer sources such as social media, mobile apps, and connected devices. This is where automation of insight discovery at scale by algorithmic approaches such as machine learning, deep learning, and NLP can be utilized.
2. Evolution of Data and Analytics Architecture
According to Mizell, data in motion and at rest, transactional and analytic databases, Cloud and on-premise, AI and BI, and more must co-exist and interoperate for the future hybrid world. Workload-specific and complementary analytic solutions must be combined while paying attention to APIs, programming languages, and connectivity to integrate with existing infrastructure.
3. Speed
Delivering business value demands fresh data and real-time insights. Customers want instant gratification. To make the most of fast-paced business opportunities, real-time analytic pipelines simultaneously ingesting, analyzing, and acting on data to deliver timely insights is required.
4. GPUs
Flexible and easy-to-use high performance GPU-based analytic technologies have the potential to modernize the analytic infrastructure while also addressing the compute bottleneck posed by big data and shrinking insight shelf life. CPUs are turning obsolete with only 16 to 32 processing cores per chip while GPUs have thousands.
5. Collaboration
Organizations need fast and easy self-service access to data and analytics for maximum business value. A secure, scalable, and available data-insight-driven culture requires adoption of flexible analytic technologies that democratize analytics, data science, and ML.
6. IoT
The future will require ways to sense, interpret, and respond to data in motion and rest, in real-time and at scale for which organizations must shape their data and analytics architecture to encompass and procure contextual insights from the massive wave of IoT data to increase productivity. Flexibility and scale are critical for cost-effective IoT data management.
Check Out: Top Analytics Solution Companies
Featured Vendors
EDITOR'S PICK
Essential Technology Elements Necessary To Enable...
By Leni Kaufman, VP & CIO, Newport News Shipbuilding
Comparative Data Among Physician Peers
By George Evans, CIO, Singing River Health System
Monitoring Technologies Without Human Intervention
By John Kamin, EVP and CIO, Old National Bancorp
Unlocking the Value of Connected Cars
By Elliot Garbus, VP-IoT Solutions Group & GM-Automotive...
Digital Innovation Giving Rise to New Capabilities
By Gregory Morrison, SVP & CIO, Cox Enterprises
Staying Connected to Organizational Priorities is Vital...
By Alberto Ruocco, CIO, American Electric Power
Comprehensible Distribution of Training and Information...
By Sam Lamonica, CIO & VP Information Systems, Rosendin...
The Current Focus is On Comprehensive Solutions
By Sergey Cherkasov, CIO, PhosAgro
Big Data Analytics and Its Impact on the Supply Chain
By Pascal Becotte, MD-Global Supply Chain Practice for the...
Technology's Impact on Field Services
By Stephen Caulfield, Executive Director, Global Field...
Carmax, the Automobile Business with IT at the Core
By Shamim Mohammad, SVP & CIO, CarMax
The CIO's role in rethinking the scope of EPM for...
By Ronald Seymore, Managing Director, Enterprise Performance...
Driving Insurance Agent Productivity with Mobile and Big...
By Brad Bodell, SVP and CIO, CNO Financial Group, Inc.
Transformative Impact On The IT Landscape
By Jim Whitehurst, CEO, Red Hat
Get Ready for an IT Renaissance: Brought to You by Big...
By Clark Golestani, EVP and CIO, Merck
Four Initiatives Driving ECM Innovation
By Scott Craig, Vice President of Product Marketing, Lexmark...
Technology to Leverage and Enable
By Dave Kipe, SVP, Global Operations, Scholastic Inc.
By Meerah Rajavel, CIO, Forcepoint
AI is the New UI-AI + UX + DesignOps
By Amit Bahree, Executive, Global Technology and Innovation,...
Evolving Role of the CIO - Enabling Business Execution...
By Greg Tacchetti, CIO, State Auto Insurance
Read Also
