The Rise of the Intelligent Enterprise: Data Analytics and AI at Scale - Elena Semenovskaia - IDC CEMA
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The Rise of the Intelligent Enterprise: Data
Analytics and AI at Scale
Elena Semenovskaia
Research Director
IDC Russia & CIS
Digital Transformation as a Response to Crisis
1
Intelligence
2
Automation
3
CX
© IDC 2
Applicable Tenets of a Digital Organization
The COVID-19 pandemic requires organizations to embody the key tenets of
a digital organization in order to survive.
At a time of uncertainty, real-time information from all internal and external sources, combined with
historical learning and knowledge, within resilient frameworks that embody enterprise’s values,
enable the agility to rapidly re-plan, re-forecast, and support or automate decisions driving
customer, employee, and partner interactions.
Agile Learning Resilient
© IDC 3
Successful Responses are Intelligence Led
Adjusting
Analytics for manufacturing
predicting demand capacity based on
and to fine-tune demand analytics and
supply chains current situation.
AI enabling
healthcare systems
to manage outbreaks
Next gen customer
support platforms (NLP,
chatbots, remote Cloud infrastructure
maintenance) scale essential for
many AI/analytics
models
© IDC 4
IDC’s Future of Intelligence Defined
Improving enterprise intelligence has
taken on a new urgency
IDC defines future of intelligence as an organization's
capacity to learn combined with its ability to
synthesize the information it needs in order to learn
and to apply the resulting insights at scale to gain a
sustainable competitive advantage or an ability to fulfil
the organizational mission.
As enterprises develop into learning enterprises, they
will develop an evidence-based culture, within which
data turned into information and then into knowledge
shapes decision making by people and machines.
© IDC 5
We Already Depend on Data
What are the primary business drivers for using AI for
your projects/initiatives? IDC Predictions 2020:
By 2024, AI will be integral to every
part of the business, resulting in 25%
of the overall spend on AI solutions as
Better Customer Experience 50% "outcomes as a service" that drives
innovation at scale and superior
Improve Employee Productivity 47% business value.
Accelerate Innovation 45%
Speed of new product 45%
development IDC’s WW Big Data and Analytics and
AI Trackers and Spending Guide:
Higher competitiveness / Gain 44% Enterprises worldwide spent $190
market share
billion on data, analytics, and AI
Improve Risk management 42%
software, hardware, and services in
Drive top line revenue growth 38% 2019.
Source: IDC AI StrategiesView, N = 2056, March 2020 6
Ability to Synthesize Information
The process of taking discrete, objective raw facts
about people, places, things, and other entities
and organizing them for some useful purpose,
usually by the addition of some context.
80% of time today is spent on finding and preparing
data, leaving only 20% for analysis;
10% of data deemed potentially useful is analyzed;
The fastest-growing technology spending:
• AI solutions — CAGR 35%
• streaming data integration and analysis — 28% CAGR
© IDC 7
More Data Types to Process
What are the types of data that are being processed by your
organization's AI/ML solutions? Worldwide Global DataSphere
Master data (customers, partners, suppliers, employees,
products, financial assets, accounts etc.) 47%
Global DataSphere is growing at
Transactional data (journal entries, purchase orders,
45% CAGR of 26% in 2019-2024
invoices, payments etc.)
B2B data exchange (EDI, XML, HL7, PiPS) 38% 143 ZB of data will be created,
captured, copied, and consumed in
Streaming data (loT data, clickstreams, stock
37% the world in 2024
prices, events, etc.)
30.3 ZB data from embedded
Social media data (Facebook, LinkedIn, Twitter) 36%
systems (including IoT) and
Multimedia files (video, audio, image, etc.) 35% metadata (data about data)
Enterprise Blockchain data (Hyperledger, Etheureum, 1:9 – ratio between unique data
R3 Corda, etc.) 35%
and replicated data
Unstructured or semi-structured (documents,
spreadsheets, drawings, etc.) 34% 50:50 – enterprise/ consumer
Spatial data (GIS, Mapping, etc.)
28%
Source: Worldwide Global DataSphere Forecast, 2019-2023, IDC
Source: IDC AI StrategiesView, March 2020, N = 1910
© IDC 8
Capacity to Learn
The awareness about and understanding of the
relationships among various pieces of
information and previously developed
knowledge, and their application to a particular
problem.
Creating culture that promotes the generation, capture,
and sharing of knowledge in multiple forms;
By 2023, 70% of G2000 companies will have metrics
in place to evaluate value realized from data, enabling them
to optimize internal resource allocation decisions across the
enterprise;
25% of enterprises cite knowledge locked in
unstructured documents as their largest impediment to
learning.
© IDC 9
Activity Distribution Map
Reports
Organized
~ 20% Enterprise Apps
~15% ~5%
Data
RPА
~65% ~15%
Terra Incognita
Unorganized
~80%
Ad hoc Process Structured
~20% © IDC 10Information Value is Defined by Capacity to Learn
Augmented Analytics
Organized
~ 20% Intelligent Apps
~15% ~5%
Decision
Data Environment
Intelligent Process
Automation
~15%
Digital Twins
Optimization
Decision Management
Swarm Intelligence
Knowledge Graphs Prediction
Market Simulation
Unorganized
~80%
Ad hoc Process Structured
~20% © IDC 11Delivery of Insights at Scale
Defined as having decision support and decision
automation requirements for everyone in the
enterprise, from executives and managers to
analysts and frontline workers (and machines).
Intelligence is embedded in every aspect of business
operations and interactions with customers, partners,
suppliers, and other stakeholders;
By 2024, AI will be integral to every part of the business,
resulting in 25% of the overall spend on AI solutions as
"outcomes as a service" that drives innovation at scale and
superior business value;
Requires a mix of technical, analytic, and business skills.
Special attention to security and trust pf data.
© IDC 12Key Steps to Raising Enterprise Intelligence
Technologies Your Peers Are Investing In
Implement "matched triple" leadership and
1 operational project teams to harness business,
analytics/AI, and IT expertise.
Drive new knowledge and information sharing
2 across the enterprise to decrease the cycle time
of learning among different parts of the
organization.
Gain situational awareness by accelerating
3 projects to break structured data and
unstructured content silos, procure relevant
external data, and ensure real-time access to
operational and customer data.
The CxO View of the Future Enterprise in the Digital Economy.
Fielded January-February 2020, IDC n=252 CXOs worldwide
Q: With respect to this agenda item in what technologies will you invest in 2020-2021?
© IDC 13Organizations Applying Intelligence
Insights at Scale Synthesize Info Capacity to Learn Synthesize Info Insights at Scale
The Singapore Gov’t Since 2015 beer brewer, 2008/9 financial crisis A group of higher ed, The Israeli hospital is
was the first country to Anheuser-Busch InBev’s forced banks to NGOs, gov’t agencies, working with startups,
launch a nationwide digital innovation develop new and tech firms released such as BioBeat and
mobile app to investments have intelligence about the COVID-19 Open Cordio, and on new
supplement contact created a data, analytics, liquidity and capital Research Dataset of trials as well as
tracing in its fight and an AI platform that resiliency. With that scholarly literature. The implementing new in-
against Covid-19. In a provides the company capability FSF member dataset is an extensive hospital and remote
week, over a million with customer and banks made the machine-readable patient monitoring
people downloaded it. supply chain visibility to decision to halt share Coronavirus literature technology to scale its
rapidly adjust plans in buy-backs. collection available for COVID-19 response
times a crisis. data and text mining. efforts.
© IDC 14The Journey to Recovery
“ ”
Crises…fast-forward historical processes. Decisions that could
take years of deliberation are passed in a matter of hours
- Noah Yuval Harari
SLOW DOWN RECOVERY
ROI Focus Innovation
RECESSION
Operational Resiliency
© IDC 15You can also read
