SlideShare a Scribd company logo
1 of 21
Download to read offline
Augmented
Analytics
How AI makes analytics more Human
March 2021
Rocco Pecora
Andy Quirin
2
Speakers
Andy is a Sr. Solution Architect at Qlik, leading
the West region and based out of Denver CO.
He has 12 years in the BI and Analytics space.
Prior to joining Qlik, he was a Qlik customer
at Rackspace where he led their Qlik
Developer groups across the organization.
Following that he led the National Data
Visualization CoE For Sogeti – Cap Gemini and
spent 5 years working globally delivering
PowerBI, Tableau, and Qlik engagements.
Andy is also a Qlik Charter Luminary and
enjoys skiing, professional wrestling, and
Legos.
Rocco Pecora is a Technical Product
Marketing Manager at Qlik and based out of
NYC. He has 8 years in the BI and Analytics
realm with a large background in consulting
across various industries such as Life Sciences
& Pharmaceuticals, Energy, Financial Services,
and Retail & E-Commerce. From development
to deployment, Rocco is passionate about
providing organizations with world class
experiences through the lens of data. He also
is an avid fisherman and enjoys
snowboarding when it gets cold.
3
Legal Disclaimer
Qlik® roadmaps provide a general overview of our anticipated product direction as of the date hereof. Qlik undertakes no
intention or obligation to update or revise any forward-looking statements contained herein, whether as a result of new
information, future events or otherwise.
The information contained in Qlik roadmaps is the proprietary information of Qlik and is not to be used for any reason
other than to provide our customers, prospective customers, partners and strategic partners with a general overview of
our anticipated future offerings. Our roadmaps are not a commitment, promise or other obligation on the part of Qlik to
deliver any particular code or functionality. Furthermore, Qlik makes no commitment that any future functionality may be
made available as part of maintenance and support.
Roadmap information should not be relied on in making a purchasing decision, as the development, release, and timing
of any features or functionality described for Qlik’s products remains at our sole discretion.
© 2021 QlikTech International AB. All rights reserved. All product and company names are trademarks™ or registered® trademarks of their respective holders.
4
The AI Paradox
AI actually makes analytics more human
Many believe AI replaces human decision making. However,
the opposite is true. AI enables people to do more with
analytics, boosting data literacy and broadening insight while
reducing time spent on data preparation and visualization.
3rd Generation
Augmented Analytics
1st Generation
Traditional BI
2nd Generation
Visualization
Time Spent on Creation
Time Spent on Analysis
5
Why is it called “Augmented Analytics”?
People and machines together create a powerful synergy
Machine Intelligence
Suggests insights to broaden
perspective and lower bias,
simplifies interaction
Human Intuition
Brings real world context and “gut
feel” that can’t be replaced by
machines
Data Science
Identifies patterns, trends,
correlations and outliers, and
makes future predictions
6
Everyone can benefit
Lifting the limitations of second-generation visualization tools
I don’t know how to create
visualizations or navigate
dashboards, so how do I
get answers?
I spend a lot of time
wrangling with data and
creating pretty visuals, but
where is the real insight?
I have created powerful
models, but how do I get
people to use them in an
effective way?
Accessibility Efficiency Reach
7
The Qlik Advantage
Combining Associative and Cognitive technology
Cognitive
Engine
+
Associative
Engine
Unique Capabilities
Associative and cognitive capabilities together result in
powerful, context-awareness.
8
“Bolt on” AI and search can’t compete
Qlik Sense leads the way with
AI built into our platform at a
foundational level
• Black box and “one size fits all” tools
• Do not adequately support visual exploration
• Lack transparency, engagement, and trust
• Limited range of user experiences – search,
algorithmic, etc.
• Second-generation visualization tools
• Typically lack truly integrated AI
• AI is limited to ‘tunnel vision’ – due to SQL /
query-based architectures
Traditional BI
(1st Gen)
Black box and
“one size fits
all” tools
Machine
Intelligence
Human Intelligence
Visualization
tools with “bolt-
on” AI
Qlik Sense
Insight Advisor
9
Creating human and machine synergy
With a powerful multiplier effect
True Augmented Analytics
The user is enhanced by the system AND the system is
enhanced by the user
Context
Intuition
+
Tribal
Knowledge Cognitive
+
Associative
10
Qlik delivers a full range of AI capabilities
Insight Advisor capabilities in Qlik Sense
Smart Data Prep
Association suggestions
and data integration
Conversational Analytics
Full natural language interaction
(NLP and NLG)
Accelerated Creation
Chart type suggestions and
authoring assistance
Advanced Analytics
Real-time calculation and
integration
Cognitive
Engine
+
Associative
Engine
Search-Based Visual Analysis
Visual Insight generation driven by
natural language (NLP)
Associative Insights
Hidden data relationships
for further exploration
11
Accelerated creation and data preparation
Create beautiful visual analytics with AI assistance
• Smart, self-service data preparation with
association recommendations, intelligent profiling,
and visual transformation
• Beautiful visualizations summarize overall shape of
data and highlight outliers and hotspots
• Visual creation accelerated by Insight Advisor
- Association recommendations to combine data
sources
- Chart suggestions for the best types of
visualizations
- A variety of smart data preparation and authoring
functions
12
Conversational, natural language analytics
Simple, natural language interaction for easy answers
• Insight Advisor Chat – Conversational Analytics
- Natural-language processing and generation (NLP
and NLG)
- Chart generation, narrative insights, key
observations and more
- Integration with search-based visual analysis
• Business logic for customization of insight
generation and natural language
• Multi-language NLP
• Utilize natural language to ask questions and get
answers
According to Gartner…
“By 2021, conversational analytics and natural
language processing (NLP) will boost
analytics and BI adoption from 32% of
employees to over 50% of an organization’s
employees, to include new classes of users
particularly in front offices.”
- “Augmented Analytics Is the Future of Data and
Analytics”, Gartner, October 2019
13
Business logic and machine learning
Customize and improve relevance over time
• Precedent-based machine learning system adapts
to “get smarter” over time, improving accuracy and
relevance of insights
• Learning from individual and collective sources
- Qlik analytics
- User behavior, intent, and feedback
- Business logic
- And more..
• Business logic layer for defining rules and
metadata to customize and guide insight
generation and interaction
• Leverages the Qlik Associative Engine for a
complete view of data and context awareness
Cognitive
Engine
Associative Engine
(Context)
Analytics
User behavior
and feedback
Business logic
Precedents
14
Build whatever you can imagine
Customize and extend for new AI-enabled capabilities
• A complete set of open and standard APIs for
customization and extension
- Easily build augmented and advanced analytics to
meet new use cases and unique requirements
- Build custom AI capabilities such as visualizations
and extensions in Qlik Sense
- Integrated developer hub and toolsets accelerate
development
- Utilize developers with standard technology skill
sets
• Access a broad library of partner and ecosystem
solutions for many types of AI scenarios
• Create immersive analytics such as voice
interaction, virtual reality, augmented reality, and
large-scale displays
+
15
A full range of user experiences
Augmented analytics benefiting all users and use cases
• The most complete solution for third-generation,
Augmented Analytics
- Self-service visualization and discovery
- Interactive dashboards
- Search-based visual analysis
- Conversational analytics
- Mobile analytics
- Custom and embedded analytics
- Reporting & alerting
• Insight Advisor enhancements across use-cases
• Not a bolt-on or “one size fits all” approach
• The right user experience for the problem at hand
16
Demo
17
Augmented Analytics
Deeper insights from AI, data-driven decisions for all
Deeper, more
meaningful insights
Search-based analysis, associative
insights, and advanced analytics that
broaden perspective, minimize bias,
and amplify discovery
Intelligent, AI-powered
platform
A world-class, open platform with AI
at the foundation, supporting a full
range of user experiences and
limitless possibilities
Data Literacy for all
Access to insights for users of all
skill levels, through associative
exploration, natural language
interaction, and accelerated
creation
18
The Qlik Cognitive Engine
Augmenting human intuition with machine intelligence
• Provides insight generation
• Automates tasks and processes
• Supports natural language interaction with NLP
and NLG (natural language processing and
generation)
• Business logic for customized functionality
• Machine learning for more relevant insights over
time
• Leverages Qlik Associative Engine for context-
awareness
19
Refine & Merge
End-to-End Platform
RDBMS Files
Mainframe
SaaS APPS
SAP
Data Warehouse Data Lake ODS
Qlik Data Integration
Generate
CDC Streaming
Data Warehouse Automation
Data Lake Creation
Prepare
Qlik Catalog
Qlik Data Analytics
Conversational
Analytics
Mobile
Analytics
Guided
Analytics
Self-Service
Analytics
Reporting
& Alerting
Embedded
Analytics
Other BI Tools
Advanced
Analytics
&
Data
Science
Free it. Find it. Understand it. Action it.
Find it. Understand it. Action it.
Deliver
Shop
Publish
20
Wrap-up
• Augmented Analytics is critical to third-generation BI,
and Qlik is leading the way with it’s end-to-end
analytics platform.
• AI isn’t an add-on; it’s built into the core of the platform
in the pursuit to enhance human intuition instead of
replacing it.
• Insight Advisor in Qlik Sense drives augmented
capabilities across the analytics life-cycle:
- Insight generation Natural language and conversational
analytics
- Data Literacy for all
qlik.com/AI

More Related Content

What's hot

Approaching Data Quality
Approaching Data QualityApproaching Data Quality
Approaching Data QualityDATAVERSITY
 
Slides: Enterprise Architecture vs. Data Architecture
Slides: Enterprise Architecture vs. Data ArchitectureSlides: Enterprise Architecture vs. Data Architecture
Slides: Enterprise Architecture vs. Data ArchitectureDATAVERSITY
 
Data Governance vs. Information Governance
Data Governance vs. Information GovernanceData Governance vs. Information Governance
Data Governance vs. Information GovernanceDATAVERSITY
 
DI&A Slides: Data-Centric Development
DI&A Slides: Data-Centric DevelopmentDI&A Slides: Data-Centric Development
DI&A Slides: Data-Centric DevelopmentDATAVERSITY
 
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...DATAVERSITY
 
ADV Slides: Data Pipelines in the Enterprise and Comparison
ADV Slides: Data Pipelines in the Enterprise and ComparisonADV Slides: Data Pipelines in the Enterprise and Comparison
ADV Slides: Data Pipelines in the Enterprise and ComparisonDATAVERSITY
 
DAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use CasesDAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use CasesDATAVERSITY
 
DAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit
DAS Slides: Data Modeling Case Study — Business Data Modeling at KiewitDAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit
DAS Slides: Data Modeling Case Study — Business Data Modeling at KiewitDATAVERSITY
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
 
RWDG Slides: Governing Your Data Catalog, Business Glossary, and Data Dictionary
RWDG Slides: Governing Your Data Catalog, Business Glossary, and Data DictionaryRWDG Slides: Governing Your Data Catalog, Business Glossary, and Data Dictionary
RWDG Slides: Governing Your Data Catalog, Business Glossary, and Data DictionaryDATAVERSITY
 
ADV Slides: Comparing the Enterprise Analytic Solutions
ADV Slides: Comparing the Enterprise Analytic SolutionsADV Slides: Comparing the Enterprise Analytic Solutions
ADV Slides: Comparing the Enterprise Analytic SolutionsDATAVERSITY
 
Data-Ed Online Webinar: Monetizing Data Management
Data-Ed Online Webinar: Monetizing Data ManagementData-Ed Online Webinar: Monetizing Data Management
Data-Ed Online Webinar: Monetizing Data ManagementDATAVERSITY
 
DataEd Slides: Leveraging Data Management Technologies
DataEd Slides: Leveraging Data Management TechnologiesDataEd Slides: Leveraging Data Management Technologies
DataEd Slides: Leveraging Data Management TechnologiesDATAVERSITY
 
DataEd Webinar: Metadata Strategies
DataEd Webinar:  Metadata StrategiesDataEd Webinar:  Metadata Strategies
DataEd Webinar: Metadata StrategiesDATAVERSITY
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling FundamentalsDATAVERSITY
 
DataEd Slides: Data Management + Data Strategy = Interoperability
DataEd Slides: Data Management + Data Strategy = InteroperabilityDataEd Slides: Data Management + Data Strategy = Interoperability
DataEd Slides: Data Management + Data Strategy = InteroperabilityDATAVERSITY
 
How to Create a Data Analytics Roadmap
How to Create a Data Analytics RoadmapHow to Create a Data Analytics Roadmap
How to Create a Data Analytics RoadmapCCG
 
Data-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and HadoopData-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and HadoopData Blueprint
 
DataEd Slides: Expressing Data Improvements as Business Outcomes
DataEd Slides: Expressing Data Improvements as Business OutcomesDataEd Slides: Expressing Data Improvements as Business Outcomes
DataEd Slides: Expressing Data Improvements as Business OutcomesDATAVERSITY
 
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
 

What's hot (20)

Approaching Data Quality
Approaching Data QualityApproaching Data Quality
Approaching Data Quality
 
Slides: Enterprise Architecture vs. Data Architecture
Slides: Enterprise Architecture vs. Data ArchitectureSlides: Enterprise Architecture vs. Data Architecture
Slides: Enterprise Architecture vs. Data Architecture
 
Data Governance vs. Information Governance
Data Governance vs. Information GovernanceData Governance vs. Information Governance
Data Governance vs. Information Governance
 
DI&A Slides: Data-Centric Development
DI&A Slides: Data-Centric DevelopmentDI&A Slides: Data-Centric Development
DI&A Slides: Data-Centric Development
 
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
ADV Slides: The Evolution of the Data Platform and What It Means to Enterpris...
 
ADV Slides: Data Pipelines in the Enterprise and Comparison
ADV Slides: Data Pipelines in the Enterprise and ComparisonADV Slides: Data Pipelines in the Enterprise and Comparison
ADV Slides: Data Pipelines in the Enterprise and Comparison
 
DAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use CasesDAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use Cases
 
DAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit
DAS Slides: Data Modeling Case Study — Business Data Modeling at KiewitDAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit
DAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
RWDG Slides: Governing Your Data Catalog, Business Glossary, and Data Dictionary
RWDG Slides: Governing Your Data Catalog, Business Glossary, and Data DictionaryRWDG Slides: Governing Your Data Catalog, Business Glossary, and Data Dictionary
RWDG Slides: Governing Your Data Catalog, Business Glossary, and Data Dictionary
 
ADV Slides: Comparing the Enterprise Analytic Solutions
ADV Slides: Comparing the Enterprise Analytic SolutionsADV Slides: Comparing the Enterprise Analytic Solutions
ADV Slides: Comparing the Enterprise Analytic Solutions
 
Data-Ed Online Webinar: Monetizing Data Management
Data-Ed Online Webinar: Monetizing Data ManagementData-Ed Online Webinar: Monetizing Data Management
Data-Ed Online Webinar: Monetizing Data Management
 
DataEd Slides: Leveraging Data Management Technologies
DataEd Slides: Leveraging Data Management TechnologiesDataEd Slides: Leveraging Data Management Technologies
DataEd Slides: Leveraging Data Management Technologies
 
DataEd Webinar: Metadata Strategies
DataEd Webinar:  Metadata StrategiesDataEd Webinar:  Metadata Strategies
DataEd Webinar: Metadata Strategies
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling Fundamentals
 
DataEd Slides: Data Management + Data Strategy = Interoperability
DataEd Slides: Data Management + Data Strategy = InteroperabilityDataEd Slides: Data Management + Data Strategy = Interoperability
DataEd Slides: Data Management + Data Strategy = Interoperability
 
How to Create a Data Analytics Roadmap
How to Create a Data Analytics RoadmapHow to Create a Data Analytics Roadmap
How to Create a Data Analytics Roadmap
 
Data-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and HadoopData-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and Hadoop
 
DataEd Slides: Expressing Data Improvements as Business Outcomes
DataEd Slides: Expressing Data Improvements as Business OutcomesDataEd Slides: Expressing Data Improvements as Business Outcomes
DataEd Slides: Expressing Data Improvements as Business Outcomes
 
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...
 

Similar to Slides: How AI Makes Analytics More Human

Qlik-Sense-Product-Presentation.compressed.pdf
Qlik-Sense-Product-Presentation.compressed.pdfQlik-Sense-Product-Presentation.compressed.pdf
Qlik-Sense-Product-Presentation.compressed.pdfhavoc2003
 
Augmented Intelligence Bridging the Gap Between BI and AI
Augmented Intelligence  Bridging the Gap Between BI and AIAugmented Intelligence  Bridging the Gap Between BI and AI
Augmented Intelligence Bridging the Gap Between BI and AIJenny Midwinter
 
Worst Practices in Artificial Intelligence
Worst Practices in Artificial IntelligenceWorst Practices in Artificial Intelligence
Worst Practices in Artificial IntelligenceWilliam Tsoi
 
See the Whole Story: The Case for a Visualization Platform
See the Whole Story: The Case for a Visualization PlatformSee the Whole Story: The Case for a Visualization Platform
See the Whole Story: The Case for a Visualization PlatformEric Kavanagh
 
AI Solutions for Industries
AI Solutions for IndustriesAI Solutions for Industries
AI Solutions for IndustriesbyteLAKE
 
AI Overview and Capabilities
AI Overview and CapabilitiesAI Overview and Capabilities
AI Overview and CapabilitiesAnandSRao1962
 
Descubra más valor en sus datos de IoT
Descubra más valor en sus datos de IoTDescubra más valor en sus datos de IoT
Descubra más valor en sus datos de IoTData IQ Argentina
 
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...Lucidworks
 
Solving the dilemma should you build or buy ai
Solving the dilemma  should you build or buy aiSolving the dilemma  should you build or buy ai
Solving the dilemma should you build or buy aiSkyl.ai
 
Learn abc-again-bi-on-cloud
Learn abc-again-bi-on-cloudLearn abc-again-bi-on-cloud
Learn abc-again-bi-on-cloudzslmarketing
 
Intro to Artificial Intelligence w/ Target's Director of PM
 Intro to Artificial Intelligence w/ Target's Director of PM Intro to Artificial Intelligence w/ Target's Director of PM
Intro to Artificial Intelligence w/ Target's Director of PMProduct School
 
MongoDB World 2016 Giant Ideas Stage eBook
MongoDB World 2016 Giant Ideas Stage eBookMongoDB World 2016 Giant Ideas Stage eBook
MongoDB World 2016 Giant Ideas Stage eBookMongoDB
 
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh JainAgile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh JainAgileNetwork
 
Qlikview Online Training in Hyderabad
Qlikview Online Training in HyderabadQlikview Online Training in Hyderabad
Qlikview Online Training in HyderabadUgs8008
 
3.BITOOLS - DIGITAL TRANSFORMATION AND STRATEGY
3.BITOOLS - DIGITAL TRANSFORMATION AND STRATEGY3.BITOOLS - DIGITAL TRANSFORMATION AND STRATEGY
3.BITOOLS - DIGITAL TRANSFORMATION AND STRATEGYGeorgeDiamandis11
 
Qlikview Online Training in Hyderabad
Qlikview Online Training in HyderabadQlikview Online Training in Hyderabad
Qlikview Online Training in HyderabadUgs8008
 
The New Normal: Predictive Power on the Front Lines
The New Normal: Predictive Power on the Front LinesThe New Normal: Predictive Power on the Front Lines
The New Normal: Predictive Power on the Front LinesInside Analysis
 
Cognitive Digital Twin by Fariz Saračević
Cognitive Digital Twin by Fariz SaračevićCognitive Digital Twin by Fariz Saračević
Cognitive Digital Twin by Fariz SaračevićBosnia Agile
 

Similar to Slides: How AI Makes Analytics More Human (20)

Qlik-Sense-Product-Presentation.compressed.pdf
Qlik-Sense-Product-Presentation.compressed.pdfQlik-Sense-Product-Presentation.compressed.pdf
Qlik-Sense-Product-Presentation.compressed.pdf
 
Augmented Intelligence Bridging the Gap Between BI and AI
Augmented Intelligence  Bridging the Gap Between BI and AIAugmented Intelligence  Bridging the Gap Between BI and AI
Augmented Intelligence Bridging the Gap Between BI and AI
 
Worst Practices in Artificial Intelligence
Worst Practices in Artificial IntelligenceWorst Practices in Artificial Intelligence
Worst Practices in Artificial Intelligence
 
See the Whole Story: The Case for a Visualization Platform
See the Whole Story: The Case for a Visualization PlatformSee the Whole Story: The Case for a Visualization Platform
See the Whole Story: The Case for a Visualization Platform
 
AI Solutions for Industries
AI Solutions for IndustriesAI Solutions for Industries
AI Solutions for Industries
 
QlikView
QlikViewQlikView
QlikView
 
AI Overview and Capabilities
AI Overview and CapabilitiesAI Overview and Capabilities
AI Overview and Capabilities
 
Descubra más valor en sus datos de IoT
Descubra más valor en sus datos de IoTDescubra más valor en sus datos de IoT
Descubra más valor en sus datos de IoT
 
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...
Webinar: Guest Forrester Analyst Reveals Why Cognitive Search Matters for Eco...
 
Solving the dilemma should you build or buy ai
Solving the dilemma  should you build or buy aiSolving the dilemma  should you build or buy ai
Solving the dilemma should you build or buy ai
 
Learn abc-again-bi-on-cloud
Learn abc-again-bi-on-cloudLearn abc-again-bi-on-cloud
Learn abc-again-bi-on-cloud
 
Intro to Artificial Intelligence w/ Target's Director of PM
 Intro to Artificial Intelligence w/ Target's Director of PM Intro to Artificial Intelligence w/ Target's Director of PM
Intro to Artificial Intelligence w/ Target's Director of PM
 
MongoDB World 2016 Giant Ideas Stage eBook
MongoDB World 2016 Giant Ideas Stage eBookMongoDB World 2016 Giant Ideas Stage eBook
MongoDB World 2016 Giant Ideas Stage eBook
 
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh JainAgile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain
Agile Chennai 2021 - Keynote | AI in Agility by Mukesh Jain
 
Qlikview Online Training in Hyderabad
Qlikview Online Training in HyderabadQlikview Online Training in Hyderabad
Qlikview Online Training in Hyderabad
 
3.BITOOLS - DIGITAL TRANSFORMATION AND STRATEGY
3.BITOOLS - DIGITAL TRANSFORMATION AND STRATEGY3.BITOOLS - DIGITAL TRANSFORMATION AND STRATEGY
3.BITOOLS - DIGITAL TRANSFORMATION AND STRATEGY
 
Qlikview Online Training in Hyderabad
Qlikview Online Training in HyderabadQlikview Online Training in Hyderabad
Qlikview Online Training in Hyderabad
 
Analytics gets Agile
Analytics gets AgileAnalytics gets Agile
Analytics gets Agile
 
The New Normal: Predictive Power on the Front Lines
The New Normal: Predictive Power on the Front LinesThe New Normal: Predictive Power on the Front Lines
The New Normal: Predictive Power on the Front Lines
 
Cognitive Digital Twin by Fariz Saračević
Cognitive Digital Twin by Fariz SaračevićCognitive Digital Twin by Fariz Saračević
Cognitive Digital Twin by Fariz Saračević
 

More from DATAVERSITY

Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...DATAVERSITY
 
Data at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceData at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceDATAVERSITY
 
Exploring Levels of Data Literacy
Exploring Levels of Data LiteracyExploring Levels of Data Literacy
Exploring Levels of Data LiteracyDATAVERSITY
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
 
Make Data Work for You
Make Data Work for YouMake Data Work for You
Make Data Work for YouDATAVERSITY
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?DATAVERSITY
 
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?DATAVERSITY
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling FundamentalsDATAVERSITY
 
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectShowing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectDATAVERSITY
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
 
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?DATAVERSITY
 
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...DATAVERSITY
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
 
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsData Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsDATAVERSITY
 
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayData Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayDATAVERSITY
 
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics2023 Trends in Enterprise Analytics
2023 Trends in Enterprise AnalyticsDATAVERSITY
 
Data Strategy Best Practices
Data Strategy Best PracticesData Strategy Best Practices
Data Strategy Best PracticesDATAVERSITY
 
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?DATAVERSITY
 
Data Management Best Practices
Data Management Best PracticesData Management Best Practices
Data Management Best PracticesDATAVERSITY
 
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageMLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageDATAVERSITY
 

More from DATAVERSITY (20)

Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
Architecture, Products, and Total Cost of Ownership of the Leading Machine Le...
 
Data at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and GovernanceData at the Speed of Business with Data Mastering and Governance
Data at the Speed of Business with Data Mastering and Governance
 
Exploring Levels of Data Literacy
Exploring Levels of Data LiteracyExploring Levels of Data Literacy
Exploring Levels of Data Literacy
 
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business GoalsBuilding a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
 
Make Data Work for You
Make Data Work for YouMake Data Work for You
Make Data Work for You
 
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
 
Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?Data Catalogs Are the Answer – What Is the Question?
Data Catalogs Are the Answer – What Is the Question?
 
Data Modeling Fundamentals
Data Modeling FundamentalsData Modeling Fundamentals
Data Modeling Fundamentals
 
Showing ROI for Your Analytic Project
Showing ROI for Your Analytic ProjectShowing ROI for Your Analytic Project
Showing ROI for Your Analytic Project
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
 
Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?Is Enterprise Data Literacy Possible?
Is Enterprise Data Literacy Possible?
 
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
The Data Trifecta – Privacy, Security & Governance Race from Reactivity to Re...
 
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
 
Data Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and ForwardsData Governance Trends - A Look Backwards and Forwards
Data Governance Trends - A Look Backwards and Forwards
 
Data Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement TodayData Governance Trends and Best Practices To Implement Today
Data Governance Trends and Best Practices To Implement Today
 
2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics2023 Trends in Enterprise Analytics
2023 Trends in Enterprise Analytics
 
Data Strategy Best Practices
Data Strategy Best PracticesData Strategy Best Practices
Data Strategy Best Practices
 
Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?Who Should Own Data Governance – IT or Business?
Who Should Own Data Governance – IT or Business?
 
Data Management Best Practices
Data Management Best PracticesData Management Best Practices
Data Management Best Practices
 
MLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive AdvantageMLOps – Applying DevOps to Competitive Advantage
MLOps – Applying DevOps to Competitive Advantage
 

Recently uploaded

Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 217djon017
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhijennyeacort
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPTBoston Institute of Analytics
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Boston Institute of Analytics
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfchwongval
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryJeremy Anderson
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsVICTOR MAESTRE RAMIREZ
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFAAndrei Kaleshka
 
detection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptxdetection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptxAleenaJamil4
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]📊 Markus Baersch
 
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfBoston Institute of Analytics
 
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...Boston Institute of Analytics
 
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxmodul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxaleedritatuxx
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024thyngster
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...Boston Institute of Analytics
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDRafezzaman
 
Vision, Mission, Goals and Objectives ppt..pptx
Vision, Mission, Goals and Objectives ppt..pptxVision, Mission, Goals and Objectives ppt..pptx
Vision, Mission, Goals and Objectives ppt..pptxellehsormae
 
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhhThiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhhYasamin16
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxMike Bennett
 

Recently uploaded (20)

Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2Easter Eggs From Star Wars and in cars 1 and 2
Easter Eggs From Star Wars and in cars 1 and 2
 
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝DelhiRS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
RS 9000 Call In girls Dwarka Mor (DELHI)⇛9711147426🔝Delhi
 
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default  Presentation : Data Analysis Project PPTPredictive Analysis for Loan Default  Presentation : Data Analysis Project PPT
Predictive Analysis for Loan Default Presentation : Data Analysis Project PPT
 
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
Decoding the Heart: Student Presentation on Heart Attack Prediction with Data...
 
Multiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdfMultiple time frame trading analysis -brianshannon.pdf
Multiple time frame trading analysis -brianshannon.pdf
 
Defining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data StoryDefining Constituents, Data Vizzes and Telling a Data Story
Defining Constituents, Data Vizzes and Telling a Data Story
 
Advanced Machine Learning for Business Professionals
Advanced Machine Learning for Business ProfessionalsAdvanced Machine Learning for Business Professionals
Advanced Machine Learning for Business Professionals
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFA
 
detection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptxdetection and classification of knee osteoarthritis.pptx
detection and classification of knee osteoarthritis.pptx
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]
 
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdfPredicting Salary Using Data Science: A Comprehensive Analysis.pdf
Predicting Salary Using Data Science: A Comprehensive Analysis.pdf
 
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
Data Analysis Project : Targeting the Right Customers, Presentation on Bank M...
 
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptxmodul pembelajaran robotic Workshop _ by Slidesgo.pptx
modul pembelajaran robotic Workshop _ by Slidesgo.pptx
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
 
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
NLP Data Science Project Presentation:Predicting Heart Disease with NLP Data ...
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
 
Vision, Mission, Goals and Objectives ppt..pptx
Vision, Mission, Goals and Objectives ppt..pptxVision, Mission, Goals and Objectives ppt..pptx
Vision, Mission, Goals and Objectives ppt..pptx
 
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhhThiophen Mechanism khhjjjjjjjhhhhhhhhhhh
Thiophen Mechanism khhjjjjjjjhhhhhhhhhhh
 
Semantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptxSemantic Shed - Squashing and Squeezing.pptx
Semantic Shed - Squashing and Squeezing.pptx
 

Slides: How AI Makes Analytics More Human

  • 1. Augmented Analytics How AI makes analytics more Human March 2021 Rocco Pecora Andy Quirin
  • 2. 2 Speakers Andy is a Sr. Solution Architect at Qlik, leading the West region and based out of Denver CO. He has 12 years in the BI and Analytics space. Prior to joining Qlik, he was a Qlik customer at Rackspace where he led their Qlik Developer groups across the organization. Following that he led the National Data Visualization CoE For Sogeti – Cap Gemini and spent 5 years working globally delivering PowerBI, Tableau, and Qlik engagements. Andy is also a Qlik Charter Luminary and enjoys skiing, professional wrestling, and Legos. Rocco Pecora is a Technical Product Marketing Manager at Qlik and based out of NYC. He has 8 years in the BI and Analytics realm with a large background in consulting across various industries such as Life Sciences & Pharmaceuticals, Energy, Financial Services, and Retail & E-Commerce. From development to deployment, Rocco is passionate about providing organizations with world class experiences through the lens of data. He also is an avid fisherman and enjoys snowboarding when it gets cold.
  • 3. 3 Legal Disclaimer Qlik® roadmaps provide a general overview of our anticipated product direction as of the date hereof. Qlik undertakes no intention or obligation to update or revise any forward-looking statements contained herein, whether as a result of new information, future events or otherwise. The information contained in Qlik roadmaps is the proprietary information of Qlik and is not to be used for any reason other than to provide our customers, prospective customers, partners and strategic partners with a general overview of our anticipated future offerings. Our roadmaps are not a commitment, promise or other obligation on the part of Qlik to deliver any particular code or functionality. Furthermore, Qlik makes no commitment that any future functionality may be made available as part of maintenance and support. Roadmap information should not be relied on in making a purchasing decision, as the development, release, and timing of any features or functionality described for Qlik’s products remains at our sole discretion. © 2021 QlikTech International AB. All rights reserved. All product and company names are trademarks™ or registered® trademarks of their respective holders.
  • 4. 4 The AI Paradox AI actually makes analytics more human Many believe AI replaces human decision making. However, the opposite is true. AI enables people to do more with analytics, boosting data literacy and broadening insight while reducing time spent on data preparation and visualization. 3rd Generation Augmented Analytics 1st Generation Traditional BI 2nd Generation Visualization Time Spent on Creation Time Spent on Analysis
  • 5. 5 Why is it called “Augmented Analytics”? People and machines together create a powerful synergy Machine Intelligence Suggests insights to broaden perspective and lower bias, simplifies interaction Human Intuition Brings real world context and “gut feel” that can’t be replaced by machines Data Science Identifies patterns, trends, correlations and outliers, and makes future predictions
  • 6. 6 Everyone can benefit Lifting the limitations of second-generation visualization tools I don’t know how to create visualizations or navigate dashboards, so how do I get answers? I spend a lot of time wrangling with data and creating pretty visuals, but where is the real insight? I have created powerful models, but how do I get people to use them in an effective way? Accessibility Efficiency Reach
  • 7. 7 The Qlik Advantage Combining Associative and Cognitive technology Cognitive Engine + Associative Engine Unique Capabilities Associative and cognitive capabilities together result in powerful, context-awareness.
  • 8. 8 “Bolt on” AI and search can’t compete Qlik Sense leads the way with AI built into our platform at a foundational level • Black box and “one size fits all” tools • Do not adequately support visual exploration • Lack transparency, engagement, and trust • Limited range of user experiences – search, algorithmic, etc. • Second-generation visualization tools • Typically lack truly integrated AI • AI is limited to ‘tunnel vision’ – due to SQL / query-based architectures Traditional BI (1st Gen) Black box and “one size fits all” tools Machine Intelligence Human Intelligence Visualization tools with “bolt- on” AI Qlik Sense Insight Advisor
  • 9. 9 Creating human and machine synergy With a powerful multiplier effect True Augmented Analytics The user is enhanced by the system AND the system is enhanced by the user Context Intuition + Tribal Knowledge Cognitive + Associative
  • 10. 10 Qlik delivers a full range of AI capabilities Insight Advisor capabilities in Qlik Sense Smart Data Prep Association suggestions and data integration Conversational Analytics Full natural language interaction (NLP and NLG) Accelerated Creation Chart type suggestions and authoring assistance Advanced Analytics Real-time calculation and integration Cognitive Engine + Associative Engine Search-Based Visual Analysis Visual Insight generation driven by natural language (NLP) Associative Insights Hidden data relationships for further exploration
  • 11. 11 Accelerated creation and data preparation Create beautiful visual analytics with AI assistance • Smart, self-service data preparation with association recommendations, intelligent profiling, and visual transformation • Beautiful visualizations summarize overall shape of data and highlight outliers and hotspots • Visual creation accelerated by Insight Advisor - Association recommendations to combine data sources - Chart suggestions for the best types of visualizations - A variety of smart data preparation and authoring functions
  • 12. 12 Conversational, natural language analytics Simple, natural language interaction for easy answers • Insight Advisor Chat – Conversational Analytics - Natural-language processing and generation (NLP and NLG) - Chart generation, narrative insights, key observations and more - Integration with search-based visual analysis • Business logic for customization of insight generation and natural language • Multi-language NLP • Utilize natural language to ask questions and get answers According to Gartner… “By 2021, conversational analytics and natural language processing (NLP) will boost analytics and BI adoption from 32% of employees to over 50% of an organization’s employees, to include new classes of users particularly in front offices.” - “Augmented Analytics Is the Future of Data and Analytics”, Gartner, October 2019
  • 13. 13 Business logic and machine learning Customize and improve relevance over time • Precedent-based machine learning system adapts to “get smarter” over time, improving accuracy and relevance of insights • Learning from individual and collective sources - Qlik analytics - User behavior, intent, and feedback - Business logic - And more.. • Business logic layer for defining rules and metadata to customize and guide insight generation and interaction • Leverages the Qlik Associative Engine for a complete view of data and context awareness Cognitive Engine Associative Engine (Context) Analytics User behavior and feedback Business logic Precedents
  • 14. 14 Build whatever you can imagine Customize and extend for new AI-enabled capabilities • A complete set of open and standard APIs for customization and extension - Easily build augmented and advanced analytics to meet new use cases and unique requirements - Build custom AI capabilities such as visualizations and extensions in Qlik Sense - Integrated developer hub and toolsets accelerate development - Utilize developers with standard technology skill sets • Access a broad library of partner and ecosystem solutions for many types of AI scenarios • Create immersive analytics such as voice interaction, virtual reality, augmented reality, and large-scale displays +
  • 15. 15 A full range of user experiences Augmented analytics benefiting all users and use cases • The most complete solution for third-generation, Augmented Analytics - Self-service visualization and discovery - Interactive dashboards - Search-based visual analysis - Conversational analytics - Mobile analytics - Custom and embedded analytics - Reporting & alerting • Insight Advisor enhancements across use-cases • Not a bolt-on or “one size fits all” approach • The right user experience for the problem at hand
  • 17. 17 Augmented Analytics Deeper insights from AI, data-driven decisions for all Deeper, more meaningful insights Search-based analysis, associative insights, and advanced analytics that broaden perspective, minimize bias, and amplify discovery Intelligent, AI-powered platform A world-class, open platform with AI at the foundation, supporting a full range of user experiences and limitless possibilities Data Literacy for all Access to insights for users of all skill levels, through associative exploration, natural language interaction, and accelerated creation
  • 18. 18 The Qlik Cognitive Engine Augmenting human intuition with machine intelligence • Provides insight generation • Automates tasks and processes • Supports natural language interaction with NLP and NLG (natural language processing and generation) • Business logic for customized functionality • Machine learning for more relevant insights over time • Leverages Qlik Associative Engine for context- awareness
  • 19. 19 Refine & Merge End-to-End Platform RDBMS Files Mainframe SaaS APPS SAP Data Warehouse Data Lake ODS Qlik Data Integration Generate CDC Streaming Data Warehouse Automation Data Lake Creation Prepare Qlik Catalog Qlik Data Analytics Conversational Analytics Mobile Analytics Guided Analytics Self-Service Analytics Reporting & Alerting Embedded Analytics Other BI Tools Advanced Analytics & Data Science Free it. Find it. Understand it. Action it. Find it. Understand it. Action it. Deliver Shop Publish
  • 20. 20 Wrap-up • Augmented Analytics is critical to third-generation BI, and Qlik is leading the way with it’s end-to-end analytics platform. • AI isn’t an add-on; it’s built into the core of the platform in the pursuit to enhance human intuition instead of replacing it. • Insight Advisor in Qlik Sense drives augmented capabilities across the analytics life-cycle: - Insight generation Natural language and conversational analytics - Data Literacy for all