10 things SAP Leonardo Can Change for CIOs

SAP couldn’t have chosen a better name for their digital innovation platform of integrated transformational technologies: Leonardo—the genius, the artist, the sculptor, the scientist, all rolled into one.

SAP brings new-age and emerging technologies such as the Internet of Things (IoT), Big Data, Artificial Intelligence, Machine Learning, Analytics and Blockchain - all to one platform. Earlier, they were available a-la-carte—with different technologies operating in silos. Leonardo integrates them into a seamless whole, with each component complementing the other. The innovation could be a boon for CIOs seeking digital transformation for their companies.

1)     First and foremost, this will be a one-stop shop for all digital technology needs including IoT, Big Data, Analytics, Blockchains, and Machine Learning. Days of assessing and provisioning new technology would get much easier and better planned. Enterprises can reduce capital costs that would have normally accrued for acquisition of technology through the use of this platform.


2)     Reduced time for quicker decision-making: Data will be sent for processing to the cloud since the integration platform is cloud-based. But not all data will be stored and processed on the cloud as there are many decisions which need to be taken quickly and in real time. Despite the development of high-level analytics, crucial decisions may get delayed. With the coming of this platform, it would be easier to segregate data processing into two distinct categories, that is, real-time and staggered. Real-time processing would be used to leverage local systems, particularly in the manufacturing sector (for example, manufacturing consolidation systems or applications running manufacturing integration along with intelligence). The tool would take a number of decisions locally, without sending data to the cloud or ERP systems. Supply chains, particularly in the manufacturing and retail industries where turnaround times are very low, can be optimized to meet the real-time demands of customers.


3)     Rare data insights with a combination of IoT and Big Data Analytics: A need for the integration of these two technologies cannot be emphasized enough. Several IoT deployments have failed due to lack of application integration strategies. Once data has been connected through IoT-enabled systems, it needs to be integrated with an organization’s current systems of records and engagements in order to create actionable insights. For instance, the CIO of a cold supply chain enterprise will have to align his IoT data which includes temperature and humidity with an analytics application so that the exact conditions and health of a biotech product can be maintained throughout distribution.


4)     Decreased security concerns: In a study conducted by Lopez Research, data security was the top concern for enterprises planning to leverage IoT for 2017. Companies do need to adopt a data security strategy which would include IoT-enabled devices. Generally, it requires the application of several software solutions and in some instances the endpoint connected devices are unable to run security features such as embedded encryption due to technical mismatch. Leonardo will provide companies the gateway that will act as a security intermediary.


5)     The blockchain technology provided on the integrated platform can be embedded into your enterprise applications, thus, speeding up transactions and increasing visibility, trust, and security.


6)     The availability of out-of-the-box predictive algorithms as well as analytical dashboards will become easier and their interfaces will get more user-friendly (for example, more sophisticated algorithms for the analysis).


7)     Enterprises would now be able to better utilize intelligent API systems and services since the integration rests on a platform of cloud computing that will ensure compatibility.


8)     Other innovative elements such as image and video processing, natural language processing, time-series processing, leveraging of unstructured data for use by your enterprise software applications will ensure greater user friendliness and smoother interfaces.


9)     More intelligent business processes: A lot of business processes depend on human interaction, involving highly repetitive tasks like checking invoices and travel expenses or perusing thousands of résumés for a position. Self-learning algorithms can detect patterns as well as solutions in data, allowing business processes to attain a new level of efficiency and intelligence.


10)  The new platform also offers design-thinking methodology to help adopt to new capabilities and business models and accelerate digital transformation.

In a nutshell, SAP has tried to put everything in the bag in an effort to attract organizations. And, it is optimistic about the future.

Raphael Perez, Vice President, SAP, claims: “Organizations across industries have benefited from SAP Leonardo already and have seen outcomes such as improved employee productivity with procurement through the development of a front-end chatbot for procurement application, to reduced labor costs and the ability to compete for talent by means of an aggregated and anonymized workforce data used to benchmark labor rates by location.”

It seems SAP is rolling out the red carpet for enterprises. Now it remains to be seen whether it will be able to persuade organizations of its usability and benefits. Perhaps, the CIOs never had it so well.

(Image Courtesy: Pixabay.com)

Categories: Digital

About Author

Orange Themes

Muqbil Ahmar

Muqbil Ahmar is a tech evangelist, environmentalist, women's rights advocate, editor, and founder of www.greenubuntu.com. He writes on ...

Read more

Write a Comment

Your e-mail address will not be published.
Required fields are marked*


Recent Comments