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Technology Trends
Presented by:
Dr. Tendü Yogurtçu, CTO
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Dr. Tendü Yoğurtçu
Chief Technology Officer, Syncsort
@TenduYogurtcu
www.linkedin.com/in/tenduyogurtcu
Today’s Speaker
About
Syncsort
>7,000 customers
84 of the Fortune 100
Customers in >100 countries
Headquarters: Pearl River, NY
U . S . L O C AT I O N S
• Burlington, MA; Irvine, CA;
Oakbrook Terrace, IL; Rochester, MN
G L O B A L P R E S E N C E
• U.K., France, Germany, Netherlands,
Israel, Hong Kong & Japan
Big Iron to Big Data is a fast-growing
market segment composed of solutions
that optimize traditional data systems
and deliver mission-critical data from
these systems to next-generation
analytic environments.
Global leader in
Big Iron to Big Data
Hybrid
Cloud
IoT AI Blockchain
Data
Governance
Technology Trends
(quintillion) bytes of
data created every day
of the world’s data generated
in the past two years alone
smart devices
projected by 20202.5Q 90% 200B
• Cloud native or cloud first for new applications
• Scalability and elasticity
• Hybrid: on-premises systems and public and private clouds
• Cloud increases focus on business process from tech details
Tech Trend:
Hybrid Cloud
Hybrid Cloud
Strategies
• Ensure seamless data flow
to/from cloud, and among clouds
• Maximize choice for workload
optimization and interoperability
• Design once, deploy anywhere –
on premise and in the cloud
• Optimize cloud infrastructure for
cost and efficiency
• Minimize disruption and risk
• Build new skills to handle
different and emerging portfolios
Challenges
• Managing multiple clouds and
vendors
• Integrating data and applications
on-premise to cloud, across clouds
• Avoiding cloud lock-in
• Lack of skills to handle hybrid
multi-cloud world
• Data and devices are exploding
• IoT offers a granular, gigapixel view, huge amounts of data
• IoT is largely driving real-time applications
• In early stages of how to make use of this detailed worldview
Tech Trend:
Internet of Things (IoT)
Internet of
Things
Strategies
• Ensure accurate data for trusted
insights
• Analyze data quickly for
immediate insights
• Gain insight from gigapixel view
with AI and ML
• Create autonomous systems that
enable an automatic response
• Complement blockchain
Challenges
• IoT data is a tradeoff between
speed and accuracy
• Integrating data at rest and data
in motion
• Enriching IoT data with data from
legacy and traditional systems
• Deciding between real-time, near
real-time, and edge computing
• Predictive analytics and machine learning
• Pipeline relies heavily on the amount and validity of data
• Exponential multiplier effect of data for insight and machine
learning
• Choosing how to consume and use AI: buy or build?
Tech Trend:
Artificial Intelligence (AI)
Artificial
Intelligence
Strategies
• Be as predictive as possible where
it has high business value
• Leverage all valuable data and
block out the noise
• Train models on high-quality data
• Simplify and automate common
patterns for data engineers
• Develop human-assisted AI
Challenges
• Data quality and bias – garbage in,
garbage out
• Ensure data is debugged
• Find the right AI tool for the data
• Limited pool of talent
• Create trust and transparency: visibility and traceability for
transactions
• Increase efficiency and speed
• Validate authenticity of products and components
• Distributed across business networks, eliminating the
middleman
• Investments growing, very early adoption stage
Tech Trend:
Blockchain
Blockchain
Strategies Challenges
• GDPR and other regulations on
PII data
• How to populate and exchange
data on/off Blockchain
• Performance, scalability and
interoperability
• Data governance: Many platforms
with multiple frameworks
• Security, identity and key
management
• Lack of available skills
• Learn from past disruptions –
identify business use case
• Learn by doing -- look for pilot
opportunities
• Be prepared – especially partners
of early adopters
• Easier to show ROI for new use
cases
• Data is the center of gravity for every company
• Know what data you have, who owns and uses it
• Compliance with regulations and standards
• Big data is maturing – from early adopter to early majority
• Data governance is more complex and critical than ever
Tech Trend:
Data Governance
Data
Governance
Strategies Challenges
• More consumers, users, silos
• Permissions and data access for
the right people at the right time
• Properly preparing data, focused
on duplication, versioning
• Managing the data, with data
lineage, provenance
• Complying with regulations such
as GDPR
• Future-proof software,
applications and tools
• Build foundation for digital
transformation
• Extend incumbent technologies
with new technologies
• Deliver clean data – valid,
accurate and fit for purpose
Hybrid
Cloud
IoT AI Blockchain
Data
Governance
Syncsort Solutions and Strategies
Hybrid
Cloud
IoT AI Blockchain
Data
Governance
Syncsort Solutions and Strategies
Learn how we help you extract value from your
critical data… anytime, anywhere
www.syncsort.com
Technology Trends and Syncsort Solutions

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Technology Trends and Syncsort Solutions

  • 1. Technology Trends Presented by: Dr. Tendü Yogurtçu, CTO
  • 2. Housekeeping Webcast Audio • Today’s webcast audio is streamed through your computer speakers. • If you need technical assistance with the web interface or audio, please reach out to us using the chat window. Questions Welcome • Submit your questions at any time during the presentation using the chat window. • We will answer them during our Q&A session following the presentation. Recording and slides • This webcast is being recorded. You will receive an email following the webcast with a link to download both the recording and the slides.
  • 3. Dr. Tendü Yoğurtçu Chief Technology Officer, Syncsort @TenduYogurtcu www.linkedin.com/in/tenduyogurtcu Today’s Speaker
  • 4. About Syncsort >7,000 customers 84 of the Fortune 100 Customers in >100 countries Headquarters: Pearl River, NY U . S . L O C AT I O N S • Burlington, MA; Irvine, CA; Oakbrook Terrace, IL; Rochester, MN G L O B A L P R E S E N C E • U.K., France, Germany, Netherlands, Israel, Hong Kong & Japan Big Iron to Big Data is a fast-growing market segment composed of solutions that optimize traditional data systems and deliver mission-critical data from these systems to next-generation analytic environments. Global leader in Big Iron to Big Data
  • 5. Hybrid Cloud IoT AI Blockchain Data Governance Technology Trends (quintillion) bytes of data created every day of the world’s data generated in the past two years alone smart devices projected by 20202.5Q 90% 200B
  • 6. • Cloud native or cloud first for new applications • Scalability and elasticity • Hybrid: on-premises systems and public and private clouds • Cloud increases focus on business process from tech details Tech Trend: Hybrid Cloud
  • 7. Hybrid Cloud Strategies • Ensure seamless data flow to/from cloud, and among clouds • Maximize choice for workload optimization and interoperability • Design once, deploy anywhere – on premise and in the cloud • Optimize cloud infrastructure for cost and efficiency • Minimize disruption and risk • Build new skills to handle different and emerging portfolios Challenges • Managing multiple clouds and vendors • Integrating data and applications on-premise to cloud, across clouds • Avoiding cloud lock-in • Lack of skills to handle hybrid multi-cloud world
  • 8. • Data and devices are exploding • IoT offers a granular, gigapixel view, huge amounts of data • IoT is largely driving real-time applications • In early stages of how to make use of this detailed worldview Tech Trend: Internet of Things (IoT)
  • 9. Internet of Things Strategies • Ensure accurate data for trusted insights • Analyze data quickly for immediate insights • Gain insight from gigapixel view with AI and ML • Create autonomous systems that enable an automatic response • Complement blockchain Challenges • IoT data is a tradeoff between speed and accuracy • Integrating data at rest and data in motion • Enriching IoT data with data from legacy and traditional systems • Deciding between real-time, near real-time, and edge computing
  • 10. • Predictive analytics and machine learning • Pipeline relies heavily on the amount and validity of data • Exponential multiplier effect of data for insight and machine learning • Choosing how to consume and use AI: buy or build? Tech Trend: Artificial Intelligence (AI)
  • 11. Artificial Intelligence Strategies • Be as predictive as possible where it has high business value • Leverage all valuable data and block out the noise • Train models on high-quality data • Simplify and automate common patterns for data engineers • Develop human-assisted AI Challenges • Data quality and bias – garbage in, garbage out • Ensure data is debugged • Find the right AI tool for the data • Limited pool of talent
  • 12. • Create trust and transparency: visibility and traceability for transactions • Increase efficiency and speed • Validate authenticity of products and components • Distributed across business networks, eliminating the middleman • Investments growing, very early adoption stage Tech Trend: Blockchain
  • 13. Blockchain Strategies Challenges • GDPR and other regulations on PII data • How to populate and exchange data on/off Blockchain • Performance, scalability and interoperability • Data governance: Many platforms with multiple frameworks • Security, identity and key management • Lack of available skills • Learn from past disruptions – identify business use case • Learn by doing -- look for pilot opportunities • Be prepared – especially partners of early adopters • Easier to show ROI for new use cases
  • 14. • Data is the center of gravity for every company • Know what data you have, who owns and uses it • Compliance with regulations and standards • Big data is maturing – from early adopter to early majority • Data governance is more complex and critical than ever Tech Trend: Data Governance
  • 15. Data Governance Strategies Challenges • More consumers, users, silos • Permissions and data access for the right people at the right time • Properly preparing data, focused on duplication, versioning • Managing the data, with data lineage, provenance • Complying with regulations such as GDPR • Future-proof software, applications and tools • Build foundation for digital transformation • Extend incumbent technologies with new technologies • Deliver clean data – valid, accurate and fit for purpose
  • 17. Hybrid Cloud IoT AI Blockchain Data Governance Syncsort Solutions and Strategies Learn how we help you extract value from your critical data… anytime, anywhere www.syncsort.com