Big Data LDN 2018: THE NEXT WAVE: DATA, AI AND ANALYTICS IN 2019 AND BEYOND

2. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. 451 Research is a leading IT research & advisory company Founded in 2000 250+ employees, including over 120 analysts 1,000+ clients: Technology & Service providers, corporate advisory, finance, professional services, and IT decision makers 85,000+ IT professionals, business users and consumers in our research community 2,000+ technology & service providers under coverage 451 Research and its sister company, Uptime Institute, are the two divisions of The 451 Group Headquartered in New York City, with offices in London, Boston, San Francisco, Washington DC, Austin, Mexico, Costa Rica, Brazil, Spain, UAE, Russia, Taiwan, Singapore and Malaysia

3. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Introducing the Data, AI and Analytics Channel Data Platforms Data Management Data Science and Analytics Artificial Intelligence This channel formally expands our previous data platforms and analytics coverage to address artificial intelligence, machine learning (ML) and deep learning as strategic enterprise initiatives, as well as enterprise blockchain. 451 Research has been covering AI and ML since 2001 – starting with text analytics and expanding to audio speech, images, and video. The new channel will enable more strategic focus on the technologies and methods adopted by enterprises to generate intelligence – both human and artificial – from internal and external data. It will also show how companies use this intelligence to drive competitive advantage and generate new business opportunities. + Blockchain

4. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Beyond Data, AI and Analytics The Data, AI and Analytics Channel will not only drive our coverage of AI in the context of data, AI and analytics products and services, but also how AI and the value of data – as well as other data-related technologies – permeate all our research channels. As such, Data, AI and Analytics Channel analysts will drive collaboration with our colleagues in other channels, in particular Customer Experience and Commerce, the Internet of Things, Information Security, Workforce Productivity & Compliance, Cloud Transformation, and Applied Infrastructure & DevOps. 451 Research Channel Map Datacenter Services & Infrastructure Applied Infrastructure & DevOps Managed Services & Hosting Cloud Transformation Information Security Data, AI & Analytics Internet of Things Workforce Productivity & Compliance Customer Experience & Commerce Data, AI and Analytics

6. Data and Analytics, 2H 2018 Importance of Data Q. Looking ahead 12 months, do you think data will be more important to your organization, less important, or will there be no change 12 months from now?

8. Data and Analytics, 2H 2018

11. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Distribution of Hadoop ecosystem projects HORTONWORKS • Accumulo • Calcite • DataFu • Druid • Knox • Phoenix • Storm • Tez • Zeppelin • Lizy • Ambari • Atlas • Ranger CLOUDERA • Avro • Flume • Hue • Impala • Kudu • Parquet • Sentry + Cloudera Enterprise BOTH • MapReduce • HDFS • YARN • Common • HBase • Hive • Kafka • Oozie • Pig • Solr • Spark • Sqoop • Zookeeper

13. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Data warehouse/mart/lake Logical Data Lake/Total Data Warehouse Distributed Storage Data Lake Data Warehouse Data Mart Relational database Data Warehouse Data Mart

14. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Q8. Which of the following analytic database (data warehouse) vendors does your organization currently use? 1 4 44% 42% 33% 26% 15% 13% 10% 7% 6% 6% 5% 7% Oracle Microsoft IBM SAP Cloudera Hortonworks Teradata Pivotal (Greenplum) MariaDB Micro Focus (Vertica) MapR Other % of Respondents (n=321) Usage of analytic database(s) Respondents whose organization currently uses an analytic database (data warehouse) Source: 451 Research, Voice of Enterprise: Data and Analytics 2018

16. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Source: 451 Research, Voice of the Enterprise: Information Security, Organizational Dynamics 2018 Q33. Which of the following security trends or buzzwords is the most overhyped? Please select no more than two. 1 6 Overhyped buzzword? All respondents

17. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Source: 451 Research, Voice of Enterprise: Digital Pulse, Vendor Evaluations 2018 Q5. Which of the following technologies do you expect to have the most transformational impact on your organization’s business operations by 2020? 1 7 Great transformational impact? All respondents 52% 45% 41% 29% 14% 12% 9% 6% 6% 5% 4% 2% 2% 2% 4% Cloud Artificial Intelligence(AI) & Machine learning for Intelligent business applications Mobile platforms and applications Internet of Things (IoT)/sensor-based technology Blockchain Digital Assistants (e.g., AI-driven Bots) Location-based technologies (e.g., beacons,Wi-Fi, video) Biometrics (i.e.,voice,iris and fingerprint recognition for authentication) Robotics Augmented or VirtualReality (AR/VR) Voice-activated Interfaces (e.g., Amazon Echo, Alexa, Siri) 3D printing Drones Other Noneof the above % of Respondents (n=1,130)

18. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. “If you want immutable records chronologically linked together in ‘blocks’ and you’re part of a trustless ‘chain,’ you’re going to love blockchain. If not, the chances are that a more traditional distributed database… is likely to fit your needs.” 4 51 R E S E A R C H

21. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Being data-driven is not without challenges In order to become more data- driven, enterprises need to invest not only in new data processing, analytics and machine learning functionality, but also in more agile approaches to data management that reduce data friction and accelerate time to insight. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved.

22. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Q4. Which of the following types of data does your organization analyze? Q19. What is your organization’s most significant barrier to using data platforms and analytics? 2 2 Mo data, mo problems The greater the number of data sources, the bigger data access and preparation headache Source: 451 Research, Voice of Enterprise: Data and Analytics 2018 4.6 5.2 20% 29% 0% 5% 10% 15% 20% 25% 30% 0 1 2 3 4 5 6 All respondents Nearly all strategic decisions are data-driven Average Number of Data Inputs Accessing and Preparing Data as a Significant Barrier

24. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. A great deal of attention has been paid to catering to the first three processes involved in AI and machine learning: data collection, structuring, and modeling. The last step, ensuring models are effectively operationalized, has been somewhat neglected. And yet placing machine learning models into production and ensuring they remain effective is critical to successful data science. Operationalization

25. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Source: 451 Research, Voice of the Enterprise: Artificial Intelligence/Machine Learning 2018 Q14. What is your organization’s most significant barrier to using machine learning? 2 5 Most Significant Barrier to AI Adoption Respondents currently using or planning to use AI/ML 36% 16% 15% 9% 3% 3% 2% 5% 10% Not enough skilled resources Accessing and preparing data Limited budget Deploying the results in operational systems Algorithms inappropriate for our uses Hard to build and maintain Lack ofsupport/involvement fromsenior leadership Other None- wehave nobarriers to using machinelearning % of respondents (n=207)

26. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. “The definition of genius is taking the complex and making it simple.” A L B E R T E I N S T E I N

27. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Vendors need to: Open up machine learning to developers of all kinds Understand the different skills and workflows needed in machine learning versus traditional software development. Get to grips with low-code services for less technical users. Make machine learning more understandable – both to the end users and the developers of machine learning-based applications. Make making machine learning – and especially deep learning – transparent enough so that developers can understand how a model has come to its predictions. Automation and the future of AI 27

28. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. Data, AI and Analytics in 2019 and Beyond Data Platforms Data Management Data Science and Analytics Artificial Intelligence The increasing convergence of ‘Hadoop’ and data warehouse, and Industry-specific and cross-industry enterprise blockchains going live DataOps drives more agile data management Increased focus on the ‘last mile’ of data science – operationalization The future of AI will be (more) automated & explainable

29. 451RESEARCH.COM ©2018 451 Research. All Rights Reserved. 451research.com US +1 212.505.3030 EUROPE +44 (0) 203 929 5700 Thank you @451Research New York London Boston Washington, D.C. San Francisco @maslett

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