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How can public services break silos to get smarter?

Cloudera and IBM offer a flexible cloud solution that meets the evolving needs of a city.


This sponsored post is in association with Cloudera and IBM.


There can be no doubt that artificial intelligence and machine learning are influencing and changing how humans work together, how cities interact with their citizens and how energy, healthcare and utility organisations serve their customers. Transforming the everyday lives of people with faster transactions, predictive learning and connected data on an enterprise data platform delivers actionable insights that enables, for example, public sector organisations, transport companies and healthcare providers to better understand, predict and serve their customers. Driving innovation, improving response times and quality of service, and the real-time monitoring of services through static and wearable sensors are just some of the results that can be derived from implementing a smart approach to digital transformation within towns and cities.

When Covid-19 hit, we thought we were already living in a digital world; boy were we wrong! Covid-19 and the ‘work-from-home’ directive has done more for digital transformation in every business still in business in less than a year than at any other single point in history. For many, adapting their business models to place digital transformation at their core, was essential to ensure any further roadblocks or pivots in the future have minimal detrimental impact.


For others, such as healthcare organisations, sharing data securely across platforms and with fellow organisations was key to the breakthrough speed in which the vaccines were developed, tested and rolled out. Track and trace systems all over the world were developed within a matter of weeks and months and had to deal with complex issues such as data security, governance and privacy. The words pivot, adaptable and flexibility became synonymous with survival, and will prove to be the essential key to success for any public or private sector organisation, post-Covid-19.

Covid-19 has done more for digital transformation than at any other single point in history.

So how can big data companies, public sector and service organisations work together to break down the silos that inevitably exist in today’s security conscious, yet data-driven world?Advanced data and analytic solutions are certainly driving the future of AI and ML and it is through these solutions that cities and public sector organisations are able to analyse, predict and improve. Advanced data and analytics deliver higher levels of capability for the enterprise, providing cutting-edge innovation. Using open source and enterprise data cloud capacities, across every combination of private, hybrid and multi-cloud environments ensures battle-ready confidence to be adaptable and flexible enough to be able to pivot if required, and even predict if and when it is needed.


On-premises, hybrid or multi-cloud?


Rarely will a public sector organisation move all of their data to the cloud from an on-premises datacentre. So for large organisations with a need to securely modernise complex data, a hybrid cloud leveraging both on-premises and cloud helps achieve real-time actionable insights to inform and improve their services. Selecting a single data management platform that is cloud agnostic will ensure a more flexible and adaptable approach to their digital transformation, reduction in infrastructure costs, and ultimately reduce the cost of resources to build and expand new applications.


Cloudera Data Platform (CDP) can be deployed on-premises, in the cloud and in multi-cloud environments, offering the most flexible and adaptable solution to the ‘which cloud’ question. The answer with CDP is - any or all! Addressing many of today’s executive-level initiatives - cybersecurity, connecting products and services, increasing the lifetime value of a customer and more - requires several different complex applications working together. For example, Internet of Things applications often involve ingest, ad hoc analytics, and machine learning on batch and streaming data.

Selecting a single data management platform that is cloud agnostic will ensure a more flexible and adaptable approach to their digital transformation.

Developing and delivering these complex applications is a challenge in multi-tenant clusters on-premises, and it’s particularly difficult in cloud environments because data context and policies don’t persist in transient environments. Furthermore, most cloud services are actually siloed applications running in isolated clusters. Security, governance, and complexity are among the main reasons for organisations not moving their operational workloads to cloud. Cloudera has built in security and data governance features to give companies confidence in standing up their big data workloads in production and with the added flexibility of having the same security features deployed across all hybrid, multi-cloud and on-prem choices.


The Cloudera and IBM Power Systems difference


Across all industries, business leaders are looking to achieve differentiation and improve their client value by exploiting the richness of new data sources and data science techniques. Improving operational efficiency in real-time, predicting financial and security risks or accurately anticipating client needs are just a few examples where data and AI are changing the nature of business with better outcomes for businesses and consumers. Being an innovator requires a data-driven culture that embraces both the richness of the data source available and applying the latest technology to extract valuable business insights.


Cloudera has been an IBM business partner since 2016 and have built a solution that unleashes the insights of big data to power the digital enterprise. Across the globe, customers span financial services, retail, telecommunications, manufacturing and government and tackle use cases such as threat prevention, customer insights and process optimisation.


Cloudera on IBM Power Systems delivers faster insights and reduces infrastructure costs for data-at-rest and data-in-motion projects. Cloudera and IBM remain leaders in Open Source with joint commitment to open standards, providing the only combination of open software and hardware that delivers innovation speed without vendor lock-in.


For data users, IBM Spectrum Scale simplifies access to data for file and object into one high performance data lake for increased productivity and provides an optional data catalogue for AI data set optimisation. For IT, Spectrum Scale automates data placement to lower cost storage options through data lifecycle management, eliminates data silos and includes optional data reduction for additional savings.


So going back to the question, how can big data companies, public sector & service organisations work together to break down the silos that exist in today’s security conscious, yet data-driven world? The answer is, look to partners that understand your model and can deliver innovative solutions that are flexible enough for now and for the future, secure in the knowledge that you won’t have to re-invent the wheel every time.


Cloudera and IBM Power Systems bring advanced data and analytics solutions to more organizations to promote a digitally connected future with the enterprise data cloud. Together we offer cutting- edge solutions through open-source innovation for any data, anywhere, from the Edge to AI.

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