Ninety percent of the world’s data was generated in the past two years, and 2.5 quintillion bytes of data are generated every day. Organizations across industries have an unprecedented opportunity to harness data to move their business forward – but they will need a solid strategy and the right tools to do so.
View this 30-minute webcast on-demand to learn about the technology trends you need to know to use data to your strategic advantage. Syncsort’s CTO, Tendu Yogurtcu, shares insights from our work with data-driven organizations around the world, on the top technology trends for 2019 – and how data governance is key.
The webcast covers opportunities, challenges and best practices for:
• Hybrid Cloud
• IoT
• AI and Machine Learning
• Blockchain
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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
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