3. The economic value of a complete
introduction of AI in Swedish public
administration is significant. The
potential is estimated to be around 140
billion SEK annually, corresponding to
about 6% of today's total public
expenses
https://www.digg.se/globalassets/slutrapport---framja-den-offentliga-forvaltningens-formaga-att-anvanda-ai.pdf
https://www.digg.se/globalassets/slutrapport---framja-den-offentliga-forvaltningens-formaga-att-anvanda-ai.pdf
Det ekonomiska värdet av ett fullständigt införande av AI (nuvarande AI teknik) i svensk offentlig förvaltning är betydande. Potentialen beräknas uppgå till cirka 140 mdkr årligen, motsvarande cirka 6 procent av dagens totala offentliga utgifter.
Intent of slide: This slide highlights the market forces that have created a “perfect storm” of challenges for enterprises today.
What we hear from our customers is that digital transformation is creating a shift from ops to apps. Digital transformation is an on-going agile process of analyzing, innovating, and adapting how a business engages with customers; empowers employees; optimizes operations; and transforms products, services, and operating models to more effectively compete in an ever-changing digital economy.
Applications and data running the enterprise now live everywhere—in your data center, at the edge, and in the cloud.
Application deployment is migrating to containers for cloud-native and non-cloud-native monolithic apps. And containerized apps live across your distributed cloud environment, so securing them wherever they reside is key. Not all apps are cloud-native and can live in the public cloud. The time it takes for migration, on average, is 27 days to refactor and migrate an application to public cloud services. At this rate, it would take 7.4 years for a business to migrate 100 applications.*
Data is exploding. It’s driving the need for AI and machine learning so you can harness data and turn petabytes of data into insights—and actions. And, it’s requiring that applications and services be deployed in proximity to where the data is created.
The environments where you run your applications are complex and need to be managed. That means driving the highest order of automation so you can focus on your business transformation and deliver the outcomes you need.
Due to the lockdowns associated with COVID-19, you’ve accelerated consumer and business digital adoption in a matter of several weeks. Companies that didn’t have a digital transformation agenda, now have a business imperative to accelerate investments
*Source: ESG, Hybrid Cloud Trends, Jun 2019.
Intent of slide: This slide explains the portfolio.
The software products in the HPE Ezmeral software portfolio allow customers to run, manage, control and secure the applications, data and IT that run their businesses—from edge to cloud.
It enables customers to run modern containerized applications and optimally manage their environments from infrastructure up the stack. It allows customers to harness data and turn it into insights. And it provides enterprise-grade security, and cost and compliance visibility.
HPE Ezmeral is a platform enabling transformation of apps to accelerate time-to-value, transformation of data to unlock insights, and transformation of ops to boost agility.
Intent of slide: Unpack the portfolio
HPE Ezmeral software portfolio includes key software components that help you advance your digital transformation initiatives—without the cost, risk and time to move data and refactor non-cloud-native applications to run in the public cloud. This software portfolio is supported by HPE Pointnext Services and may be offered as HPE GreenLake services.
Transition: The HPE Ezmeral portfolio touches people with different roles
Our strategy is to integrate and simplify IT, across environments and workloads
Our core is in on-prem, purpose-built external storage today
We have to deliver workload-optimized solutions, for mission critical, general purpose, secondary and big data use cases
We enable easy consumption for the customer, whatever their deployment model and environment
We also provide seamless data mobility from on-prem to cloud to edge, for customers to manage structured and unstructured data
Finally, we enable data outcomes but providing more than storage— predictive analytics, full stack visibility, context awareness and lifecycle management
