Connected Data Environmental System for AI scale AI
Innovative integration platforms are helping businesses smooth the scattered IT environment and producing their data pipelines to prepare AI-driving change.

Enterprise IT ecosystem is often widely equivalent to metropolies.
Similarly, the grid lock, enterprise IT systems, can often experience data barriers to how to driving in a centuries -old city. Today’s IT scenes include legacy main frames, cloud ancestral applications, on -premises system, third -party sauces tools, and growing edge environmental systems. The information flowing through the work of this patch is trapped in the connection of the connection that is expensive to maintain and suffer from such as the high -speed expressway from a narrow, Kobel Stone Bridge, which is constantly undergoing repair.
Forward -visible organizations are now turning to a solution to the central, cloud -based integration.
To create a more appropriate system for the first future of AI, future visible organizations are approaching the central, cloud -based integration solution that can support everything from real -time data streaming to API management and event -driven architecture.
In the era, the crowd, like the aforementioned scenario, is a serious responsibility.
AI models rely on clean, permanent and enriched data. Divine or contradictions can rapidly harass output. Data flows scattered can also weaken most of the Modern AI steps. And when the contact Snphos occurs, the system is not able to communicate at a scale or speed that demands AI-drive processes.
Even when there is a risk in contacting data, even the most promising AI measures may fail to provide value.
AI’s ability to run such results depends on the ability to transmit data, faster, faster, faster, faster throughout the enterprise. At the same time, the AI ​​itself is capable of renewing the landscape of the integration. Cloud-local integration platforms are starting to add AI-powered capabilities that automatically find the flow design, detect instability, recommend maximum contacts, and even self-healing data pipelines. This creates a good cycle: integration enables AI and AI, and in return, turbo charges integration.
Beyond the technical benefits, the facilitator of intelligent automation through modern integration stands to improve operational performance and cross -function cooperation. Business processes become more responsible, data is accessible in departments, and teams can shield market or consumer demands more rapidly to change. And since the integration platforms handle the work in the usual data data, human teams can attract attention to the highest value priorities.
The integration platform helps to unite data streams from on -premises to edge and ensure API governance in broader application scenes.
Entered connectors with the graph of knowledge intensifies contacts in pre -produced diverse systems, while real -time monitoring provides predictions and preliminary warnings before affecting business works.
We are already looking at the examples of the real world how to think that the integration is empowering businesses to develop more and more AI. There are three companies that use SAP Integration Sweet to smooth data flow and facilitate their tasks.
- Siemens Healthcares: In the health care sector, where data accuracy, timely and security are non -negotiations, Siemens is using Healthcares Solutions of integration Make health services more capable and personal.
Siemens Healthcares operate a diverse business scenario that contains diagnosis, medical imaging, and therapy, with each one with the unique requirements and processes of the data. The L -Enables to enable more independent decision -making, the company’s integration layer helps to smooth the basic financial process and smooth reporting, while also supports flexible planning and immediate insights in operations. This enables data access to the system without interruption in the system without the need for a copy of the data, which is an important consideration in the very regular industry. - Herodes: Luxury retailer operates Herodes Of complex hybrid IT landscape Which supports both its flagship London store and the growing business of e -commerce. The company now offers 100,000 products online online and operates 2 million transactions daily through digital channels. To modernize this growing image, Herodes took advantage of SAP’s Pre -Bullet B2B connector and event mesh architecture to orch the flow of more than 600 integration into key business operations.
Since implementing SAP solutions, Herodes has reduced the integration process times by 30 % and the total cost of ownership has decreased by 40 %. More importantly, the company has developed a fertile data and application spinal cord that can adapt to consumer expectations – and digital retail technologies.
- Varvrak: German Directorate Sales Company, Warvik, who is known for products such as smart kitchen appliances and cleaning systems, has been cleansed in recent years. Between 2018 and 2023, the company Its digital sales increased Only 1 % to 85 %.
Virvic relies on SAP solutions to automatically make data flow into key systems, including CRM and inventory management, payment processing, and consent management. The latest system has helped eliminate manual paperwork, accelerate order -to -cash cycle times, and improve customer data accuracy and consistency.
Using SAP solutions, retailers are ready to succeed in the Herodes and Varrak AI era.
Digital growth
Digital of Varvrak
The change increased
Digital sales
The performance of the process
Herodes Data Infrastructure
Developed with technology
And customer expectations
As these examples show, contact is the essential basis for AI in every industry. Since the healthcare sector rapidly accepts AI, for example, strong integration is a prerequisite for use issues such as diagnostic imaging and Prediction care. Strict regulatory requirements also demand accurate, transparent data handling and traceability in the system.
In retail, also, united, events-driven integration and integration of the integration of inventory management predicted from the recommendations of personalized products to personalized products-all of which are needed to sell, inventory, customer and partner systems, need fast, accurate data flow.
And directly in consumer models, such as the workwride model, improves new levels of personal personalities, real -time marketing, and supply chains. Such abilities can help D2C’s business be competitive and accountable in the most dynamic markets – a need because more than 70 % of users now expect personal experiences from the brands they buy. Moving forward, AI (especially Generative AI) will potentially play a vital role in scaling these personal experiences and providing brands to the right tone, visual leaders, and the supply of messages prepared with copy to meet the moment.
According to a recent IDC ReportAbout half of the HALF businesses are using three or more integration tools, which uses 25 % in their environment more than four.
Although many companies see the value in stability, there are obstacles to facilitating technical challenges and skills. Another structural problem: One -third of businesses do not consider integration unless the system is implemented.
Permanent innovation and long -term tension depends on whether the infrastructure can be developed soon like a company’s ambitions. The modern integration platform provides connective fabric that makes such adaptation possible.
A united integration strategy offers a way forward. An integration road map companies can help move companies to move into the expansionist foundation, more purpose than pieces efforts. It supports both current business needs and the requirements of AI -powered innovation.
The cities that are developing today are not those who easily manage the flow of traffic by expanding their highways or adding to the spinning cycle. In the enterprise IT, the same principle applies: Permanent innovation and long -term tension depends on whether infrastructure can be developed soon like a company’s ambitions. The modern integration platform provides connective fabric that makes such adaptation possible.
Find out more about MIT technology review insights and SAP modern integration for the content hub of business important initiatives.
This content was developed by insight, the arm of customs material for MIT technology review. This MIT was not written by the editorial staff of the Review.
This content was researched, designed and fully researched by human authors, editors, analysts, and authors. This includes collecting data for the survey and the survey. The AI ​​tools used were limited to the secondary production process that approved a complete human review.
MIT Technology Review by Insight