Top 15 Predictions about Data Analytics and AI for Decision Makers
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The document outlines 15 predictions regarding the future of data analytics and AI for executives, highlighting the increasing automation of data science tasks, anticipated challenges with blockchain implementation, and the growing importance of data literacy in organizations. By 2020, a significant shift is expected with 40% of data science tasks automated and organizations increasingly becoming involved in data marketplaces. It also emphasizes the need for advanced analytics to play an active role in enterprises as data continues to proliferate.
Top 15 Predictions about Data Analytics and AI for Decision Makers
- 1. TOP 15 PREDICTIONS ABOUT DATA ANALYTICS & AI FORTOP 15 PREDICTIONS ABOUT DATA ANALYTICS & AI FOR CTOs, CIOs, CDOs & DECISION-MAKERSCTOs, CIOs, CDOs & DECISION-MAKERS
- 2. TRADITIONAL MINDSET Time Consuming Keeping Siloed Data Lack Of Transparency Inaccurate/Broad Findings Applications & Analytics Based On Data Warehousing
- 3. Data Is The Raw Material For Decision-Making Data is found everywhere internally and externally. Big Data Continues To Increase Rapidly In All Dimensions. Data And Analytics Need To Take On A More Active And Dynamic Role In The Enterprise Layer. GROWTH MINDSET
- 4. By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists. ADVANCED ANALYTICS AND DATA SCIENCE 100 0 40% " "
- 5. Gartner research suggests that this new general-purpose technology is just beginning a 75-year technology cycle that will have far-reaching implications for every industry. ARTIFICIAL INTELLIGENCE
- 6. Through 2021, 95% of data management projects using blockchain will fail due to eitherperformance challenges or misapplication of the technology By 2020, more than 40% of data science tasks will be automated, resulting in increasedproductivity and broader usage by citizen data scientists. By 2021, 50% of apps will trigger events for users, thereby making them more efficient. By 2020, more than 40% of data science tasks will be automated, resulting in increasedproductivity and broader usage by citizen data scientists. By 2020, 50% of organizations will reject solutions from new vendors that contractually inhibittheir ability to extract their own data. ARTIFICIAL INTELLIGENCE Source: 100 Data and Analytics Predictions Through 2021, Gartner, 2017
- 7. By 2020, 25% of large organizations will be either sellers or buyers of data via formal onlinedata marketplaces. By 2020, 80% of organizations will initiate deliberate competency development in the field of information literacy, acknowledging their extreme deficiency. By 2020, 20% of companies will dedicate workers to monitor and guide neural networks. By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists. ARTIFICIAL INTELLIGENCE Source: 100 Data and Analytics Predictions Through 2021, Gartner, 2017
- 8. TIMELINE 1990s ELCTRONIC CONSUMER RECORDS 1980s 2000s 2010s 2020s MEASURABLE CX ONLINE CUSTOMER ENGAGEMENT REALTIME AI- POWERED EDGE ENABLED DATA MANAGEMENT AI POWERED PREDICTIVE, SENTIMENT ANALYSES & MORE
- 9. WHY PARTNER WITH CYGNET? Big Small Company Big In Terms Of: Wide Coverage Of Technology, Maturity Of Processes, Complexity Of Projects. Small In Terms Of: Less Hierarchy, Unmatched Attention, Lot Of Agility Best Of Both Worlds Onsite/off-Site/offshore/hybrid Flexibility Local Contracts Flexible Engagement Models Cost Advantage Value For Money For Our Customers Arising Out Of Our Local Account Management, Global Delivery Model And Optimized Operations Ensuring Success Customer Satisfaction Committed To Partner-Centric Business Model Building Sustainable Relationships Expertise & Quality Focused Cmmi3 & ISO Certified Organization. 16+ Years Of Immaculate Service Delivery Functional Competence And Expertise IPR Protection Intellectual Property Rights Protection For The Software/Applications We Develop/Support Data Security
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