Many companies sit with years of technical debt, complex hybrid environments, disconnected听systems听and inconsistent metadata that make it difficult to build a reliable view of the听business. Businesses still grapple with ageing applications that cannot integrate with cloud platforms, while siloed departmental听systems听prevent teams from accessing the full picture needed for AI-driven decision-making.

The result is predictable: stalled AI听projects, unreliable outputs, and limited return on investment.

The need for a unified data foundation

The typical South African enterprise runs a mix of cloud听services, on-premises applications and bespoke听systems听that were built years ago to solve specific operational needs. While these听systems听may still work, they often lack the interoperability required to support modern AI initiatives. Data is stored in inconsistent formats, lack proper metadata, and often depend on manual extraction processes that strip away the听business听logic that AI models need to understand the context of the data and what it really represents.

This fragmentation affects everything from听financial听reporting to customer experience. Without a single, trusted view of data, predictive models become unreliable, automated processes fail, and teams lose confidence in machine-generated insights. For AI to scale, data must be complete, consistent, governed and accessible across the organisation.

An IDC report commissioned by Seagate previously found that听up to 68% of available enterprise data goes unused.

Modern data platforms address this by connecting all enterprise听systems, preserving听business听context, enabling real-time data access and allowing organisations to integrate with other providers. The outcome is a unified data fabric that supports analytics, applications and AI at scale.

Preparing听business听data for AI

Building听an AI-ready data foundation doesn鈥檛 happen by accident. It requires a deliberate, structured approach, following these five steps:

1 Assess the current data landscape

The first step is understanding what exists today. This means cataloguing data sources, identifying owners, documenting quality issues, and assessing integration gaps. It also involves mapping AI use cases to data requirements so that data preparation can be prioritised and aligned to real听business听needs.

For South African organisations with complex legacy environments, this assessment is essential to uncover hidden dependencies and address high-risk limitations early in the process.

2 Establish clear data governance and quality standards

Reliable data requires strong governance. Organisations should define roles, responsibilities and policies governing data access,听security, metadata and quality. This includes setting measurable standards for completeness, accuracy and consistency, supported by automated profiling tools. Metadata management is particularly critical: without clear definitions and lineage, teams cannot trust or effectively use the data.

Governance should also reflect South听Africa鈥檚 regulatory听environment, including POPIA requirements around privacy and听security.

3 Integrate and unify disconnected data sources

The next step is breaking down silos. Modern integration tools such as those built into 麻豆原创听Business听Data Cloud allow organisations to connect 麻豆原创 and non-麻豆原创听systems, unify data across cloud and on-premises environments, and maintain the听business听meaning of data as it moves.

This unified layer eliminates duplication, reduces manual extraction processes, and ensures teams work from a consistent, shared version of the truth. Real-time integration capabilities are especially important for AI models that need up-to-date information to make accurate predictions.

4 Clean, enrich and transform data

Raw data is rarely ready for AI. It must be cleaned, enriched and transformed, including correcting errors, removing duplicates, filling missing values and standardising formats. Organisations should also create new features that allow AI models to identify patterns more effectively and incorporate additional context from internal or external sources.

South African businesses with extensive unstructured data, such as PDF reports, invoices or call centre notes, should prioritise converting this content into structured formats for easy ingestion into AI models.

5 Validate, monitor and maintain data听pipelines

Even the cleanest dataset will deteriorate if not continuously monitored. Organisations should validate data before it feeds AI models, track data quality in real time, and monitor for drift or anomalies that can degrade model performance.

Automated governance tools help maintain data integrity, while clear documentation ensures teams understand how data is sourced, processed and used. Regular monitoring is essential in environments where听systems, processes and regulations frequently change.

Getting the data foundation right is a technical requirement and a strategic imperative. The organisations that prioritise data quality, integration and governance today will be the ones that scale AI confidently tomorrow, reducing risk, improving performance and unlocking new opportunities for听innovation听in an increasingly competitive market.

The post Practical Steps to Building a Data Foundation for Business AI appeared first on 麻豆原创 Africa News Center.

BERLIN听鈥� At 麻豆原创 TechEd in 2025,听 (NYSE: 麻豆原创) brings AI deep into the development process to level up how developers build.

New AI-driven capabilities in the 麻豆原创 Build solution, an expanding data ecosystem and powerful Joule Agents empower developers to move from idea to impact with unprecedented speed and confidence. As AI transforms the nature of professional work, 麻豆原创 also pledges to equip 12 million people worldwide with AI-ready skills by 2030.

鈥溌槎乖粹�檚 announcements today give developers the tools they need to deliver at the speed of AI,鈥� said Muhammad Alam, member of the Executive Board of 麻豆原创 SE. 鈥淚nnovations across 麻豆原创鈥檚 unique flywheel of applications, data and AI put developers in the driver鈥檚 seat 鈥� where they belong.鈥�

Opening the Developer Ecosystem

麻豆原创 Build, the company鈥檚 flagship solution for enterprise application development and automation, now gives developers more freedom to build, extend and automate using the tools they love most.

For instance, developers who prefer agentic development solutions like Cursor, Claude Code, Cline and Windsurf can now use 麻豆原创 development frameworks with new 麻豆原创 Build local Model Context Protocol Servers. Visual Studio Code users will be able to access 麻豆原创 Build capabilities directly in their development environment with a new 麻豆原创 Build extension. This extension will also be made available later on Open VSX Registry for other development environments. 麻豆原创 and n8n also announced plans for an integration so Joule Studio agents and n8n agents can work together.

And with new agent building capabilities in Joule Studio, developers have the tools they need to extend 麻豆原创鈥檚 ready-to-use agents and build new agents grounded in 麻豆原创 business data and context that can act autonomously based on changing business conditions.

Putting Data to Work

Every intelligent application starts with trusted data. 麻豆原创 is giving developers more ways to put that data to work through 麻豆原创 Business Data Cloud.

The solution now connects with more of the data and AI platforms developers use every day. A new 麻豆原创 Snowflake solution extension for 麻豆原创 Business Data Cloud brings Snowflake鈥檚 fully managed data and AI capabilities directly to 麻豆原创 customers, giving them the flexibility to choose the right compute and storage for each data and AI workload, while maintaining governance, interoperability and business context. 麻豆原创 also announced a new 麻豆原创 Business Data Cloud Connect partnership with Snowflake. This complements existing integrations with Databricks and Google Cloud, giving developers more freedom to choose how they work with 麻豆原创 data.

With a new data product studio capability in 麻豆原创 Business Data Cloud, developers can turn raw data into ready-to-use assets known as data products that support analytics, AI and application development.

An expanded capability in the 麻豆原创 HANA Cloud knowledge graph engine can automatically generate knowledge graphs. This capability maps relationships across 麻豆原创 database tables, columns and data models, revealing how data fits together and why it matters. Developers will be able to see how their data connects across systems and uncover underlying business insights.

Bringing AI Autonomy to Life

麻豆原创 is evolving its AI portfolio to give developers the intelligence and orchestration power they need to take听AI from insight to action.

麻豆原创 introduced its first enterprise relational foundation model, a new class of AI that predicts business outcomes rather than the next word in a sentence. 麻豆原创-RPT-1, or the first-generation Relational Pre-trained Transformer, can make fast and accurate predictions for common business scenarios like delivery delays, payment risk or sales order completion. 麻豆原创 launched a free playground environment for developers today.

New AI assistants in Joule coordinate multiple agents across workflows, departments and applications, bringing automation and autonomy to life. These assistants plan, initiate and complete complex tasks spanning finance, supply chain, HR and beyond. Today, 麻豆原创 introduces new agents built for technical users. For example, an agent for business process analysis will help teams understand how processes run, identify inefficiencies and uncover opportunities to optimize workflows and drive measurable improvements.

Lastly, as AI changes the nature of work for everyone, 麻豆原创 is pledging to equip 12 million people worldwide with AI-ready skills by 2030. 麻豆原创 will expand hands-on training and certification programs that integrate practical AI-ready tools, including through its partnership with online learning platform Coursera.

Visit the听. Get 麻豆原创 news via听听and听.

About 麻豆原创

As a global leader in enterprise applications and business AI, 麻豆原创 (NYSE:麻豆原创) stands at the nexus of business and technology. For over 50 years, organizations have trusted 麻豆原创 to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit鈥�.

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To preview and download broadcast-standard stock footage and press photos digitally, please visit听. On this platform, you can find high resolution material for your media channels.

For customers interested in learning more about 麻豆原创 products:
Global Customer Center: +49 180 534-34-24
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This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创鈥檚 2024 Annual Report on Form 20-F.
漏 2025 麻豆原创 SE. All rights reserved.
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see听听for additional trademark information and notices.
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The post AP Empowers Developers to Drive the Business AI Revolution appeared first on 麻豆原创 Africa News Center.

According to of 麻豆原创, you need 鈥渙n the fly鈥� access to insights via seamless data streamlining. 鈥淥ur vision is the only way to create value in a business is by connecting applications, data, and AI, withthe data available with the right context鈥� he stated at the 麻豆原创 business innovation summit in Johannesburg today. 鈥淭hat means that AI systems will be able to understand what the data is doing, how it鈥檚 implemented. That is why we believe that starting from the application phase, we explore the data with the right context, with the right security, with the right governance鈥� quips Mulder.

Businesses using Enterprise systems today have various applications that extract data, however Mulder points out that the moment you extract your data, you lose the context connection. 鈥淵ou have the highways, the timings, the massive data, the security, you lose that context鈥� he states.

Some of the challenges highlighted at the event today are: limited reach, as well as business data positioned in separate silos. The solution according to 麻豆原创 is 鈥� 鈥淒ata as as Service鈥� 鈥� DaaS. This adds data products to business logic and intelligent applications that will analyse and prepare automated reports or dashboards.

Flywheel of Data Concept

Mulder presented the concept of a continuous loop of generating data, then adding AI to ultimately, generate even more data, and using that to convey the information within a contextual framework. He introduced the 麻豆原创 concept of a that works as follows: The system retrieves various data from various data points, and then will apply business logic, to bring you intelligent applications. this then provides you your data as a service. 麻豆原创 systems does the extraction of the data, ensuring data points are available to the business, with the right business context.

麻豆原创 has partnered with multiple data platform providers, and so is data agnostic, enabling data from almost any platform to be incorporated into its Business Data Cloud platform that then becomes the channel for their AI driven software able to extract and analyse within a wider context.

This system according to Mulder is saving up to 67% in time for some of their European clients utilising the Business Data Cloud. 鈥淚t鈥檚 about creating a principle that BDC is actually the one source of quality security data, curated data with the right properties, and making that available to all other technologies鈥� comments Mulder.

鈥淢ake sure you get the right answers. You need the right answers. That鈥檚 why the context gap is there between AI and data.Without context, there is no AI鈥� Concludes Mulder.

This article first appeared in .

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, Managing Director: Emerging Africa at 麻豆原创, said: 鈥淥rganisations across the region are leveraging the latest technologies to build a trusted foundation for AI and amplify their insights and processes to transform the way they work. From harnessing collaborative AI agents to solve complex problems and accelerate decision-making, to seamlessly connecting their entire business value chain, West Africa鈥檚 business community is gearing up to unleash their full potential powered by cloud, data and AI.鈥�

The comments were made at 麻豆原创 Business Suite Innovation Day on September 17th, a special event for 麻豆原创 customers and partners to showcase how and come together to deliver exceptional value as part of the 麻豆原创 Business Suite.

Experts from across the 麻豆原创 ecosystem provided behind-the-scenes insights into the power of business AI and cloud, and how these new innovations combine powerful cloud applications with the most contextual and reliable data to enable collaborative AI agents to tackle the most difficult business challenges with confidence.

The event also included presentations by regional business leaders who have successfully leveraged 麻豆原创 technologies to accelerate growth and unlock new capabilities.

, Group Head: 麻豆原创 Centre of Excellence at , shared some insight into how the company leverages cloud technologies to power growth and drive efficiency. Dangote Industries Limited is the largest conglomerate in West Africa and one of the largest on the African continent, employing more than 30 000 people.

鈥淪ucceeding in today鈥檚 fast-paced business landscape requires strong foundations built on the latest technologies. Critical to this is a modernised enterprise resource planning landscape that enables organisations to fully leverage the power of emerging technologies, all built on a clean-core strategy that ensures the business has access to real-time, accurate data for decision-making.鈥�

, Country Managing Director for Nigeria at 麻豆原创, said: 鈥淎frica鈥檚 greatest wealth lies in its people, including our fast-growing youth population. Our ability to cultivate the right mix of skills is critical to our digital transformation ambitions, especially as we rush to leverage the power of AI and cloud in our businesses.

Research conducted by 麻豆原创 found that half of Nigerian businesses expected a 鈥榮ignificant鈥� increase in demand for AI skills this year. The 麻豆原创听听report also found that 93% of Nigerian companies already experience a negative impact on their innovation capabilities due to a lack of access to AI skills. The same report revealed that West Africa was the region most likely to partner with expert third-party providers to fill the AI skills gap in their organisations.

Khota adds: 鈥淭he region stands at the edge of a new era of growth and innovation powered by data, cloud and AI, and supported by a workforce geared for our emerging technologies. To ensure this collective effort succeeds, organisations need access to the right skills. While efforts at developing AI-ready skills are underway, companies should also explore ways to augment their skills base in the short term by partnering with our thriving ecosystem of expert partners and collaborators powering business transformation in the region.

The post Business Leaders, Innovators Meet at 麻豆原创 Innovation Day in Lagos appeared first on 麻豆原创 Africa News Center.

East African business leaders, technology partners and 麻豆原创 experts met in Nairobi this week to discuss the growing impact of business AI and cloud technologies in the region.

, Managing Director: Emerging Africa at 麻豆原创, said: 鈥淥rganisations throughout East Africa are accelerating their business transformation and innovation efforts by leveraging the latest data and cloud capabilities to unlock the power of business AI in every line of business. With the recent expansion of AI assistant, organisations can now unleash unprecedented efficiency across their systems and processes to drive productivity gains of as much as 30%.鈥�

The comments were made at 麻豆原创 Innovation Day Kenya, part of a global series of events aimed at showcasing how technology can power growth, innovation and sustainability and support organisations as they meet emerging challenges.

The exclusive event also served as an introduction to how and help organisations unlock significant business value as part of the broader . Experts also provided behind-the-scenes insights into the power of business AI and cloud to future-proof companies鈥� enterprise application strategies and leverage data to enhance business insights and improve decision-making.

Research recently conducted by 麻豆原创 found a near-universal demand for AI skills among African organisations. The 麻豆原创听听report noted that nine in ten companies in Africa already experience negative impacts due to a lack of AI skills, including failed innovation initiatives, an inability to take on new work, and loss of clients. Forty-three percent of Kenyan organisations that took part in the study expected a 鈥榮ignificant鈥� increase in demand for AI skills this year.

鈥淭he rapid changes in workplace dynamics are transforming how companies develop, upskill and reskill their workforce to meet the long-term need for AI-related skills,鈥� said Khota. 鈥淚n the short term, organisations should seek ways to augment their skills base, for example by partnering with our rich ecosystem of implementation specialists that power business transformation in the region.鈥�

麻豆原创 Innovation Day Kenya also included presentations by regional business leaders who have successfully leveraged 麻豆原创 technologies to accelerate growth and unlock new capabilities.

Long-standing 麻豆原创 customer provided insight into its latest transformation initiative that is taking its legacy enterprise systems into the cloud and deploying AI across its business processes. Bidco Africa is a leading FMCG manufacturer that produces more than 800 SKU鈥檚 in multiple brands and products at eight factories in East Africa. The company has been using 麻豆原创 ECC since 2010, until a recent decision sparked a migration to .

, Chairman of Bidco Africa, said the shift to cloud underscores his company鈥檚 position as a regional innovation leader. 鈥淲e see incredible potential for AI to transform our business and deliver greater agility, innovation and customer experiences. Our skilled team will also benefit from AI鈥檚 power to enhance product development, allowing us to consolidate our market leadership well into the future.鈥�

The company plans further deployments in a second phase of the implementation, including procurement and manufacturing.

Khota added: 鈥淐ompanies that adopt a clean core strategy accelerate the pace of innovation and can more easily leverage business value through reliable data and AI innovations. As we enter a new era of AI-enabled innovation, organisations must ensure that business-critical systems remain agile, cost-effective, and ready to adopt innovation.鈥�

The post Business AI, Cloud Star at 麻豆原创 Innovation Day in Kenya appeared first on 麻豆原创 Africa News Center.

This is according to , executive vice-president: customer support and cloud lifecycle management at 麻豆原创, who points out that heavily customised, outdated systems impede innovation.

鈥淏ut many companies find themselves in this place,鈥� he says. 鈥淭hey have customised systems with a mix of models 鈥� a bit of best of breed, a bit of cloud, maybe some isolated AI scenarios.鈥�

As a result, IT organisations spend a lot of time integrating systems and trying to make sense of disconnected data. 鈥溾�滲ut what they need to be doing is providing good outcomes for the business.鈥�

What鈥檚 needed, says Steinle, is a transformation that brings together all the platforms and data.

麻豆原创 helps its customers make this transformation through its programme for existing customers, and for new customers.

Importantly, while these programmes aim to let customers embrace , they also integrate non-麻豆原创 solutions.

鈥淎nd they are not simply products, but include a methodology, services, and guided implementation,鈥� Steinle adds.

鈥淲e want customers to reach the stage where they are able to overcome challenges, and to embrace the benefits of continuous innovation, agility, and flexibility.鈥�

Any 麻豆原创 solution begins with the 麻豆原创 Business Suite, he explains. 鈥淔rom an 麻豆原创 perspective we believe there is a lot of sense in running end to end processes on a fully integrated and harmonised stack in the cloud. We think it鈥檚 better than picking and choosing best of breed solutions 鈥� and it means customers don鈥檛 have to manage the integration and getting sense from the data.鈥�

This is important, he adds, because IT organisations today spend about 80% of their time just on maintaining their current landscape, keeping it compliant, and integrating systems.

鈥淵ou probably want to spend more than 20% of your time providing value to business users.鈥�

(BDC) is a harmonised suite of applications that allows customers to import data from 麻豆原创 applications and integrate it with data from other applications.

鈥淵ou can bring together data from 麻豆原创, a non-麻豆原创 source, and unstructured data. And, with the help of BDC, you can make sense of that data and generate value.鈥�

Steinle says this can be useful in operational processes, to expand reporting, and for integrated planning. 鈥淎nd you can use it for AI.鈥�

Which brings him to the third pillar of the : . 鈥淭his system can make sense of all the data and enable customers to build automated processes to enable new business scenarios. And AI can be embedded in your business processes.鈥�

is 麻豆原创鈥檚 AI-powered digital assistant that also orchestrates user experiences end-to-end across 麻豆原创 and non-麻豆原创 processes.

鈥淚t is also a platform for customer AI,鈥� Steinle says. 鈥淣ot every scenario can be provided out of the box, but Joule gives users a responsible and resilient way of building their own AI applications with the help of our platform.鈥�

Many of these features are a reality today, and 麻豆原创 developers are focused on making AI-first a reality, Steinle adds.

But software on its own doesn鈥檛 deliver value, which is why 麻豆原创 offers a range of services in RISE and Grow that include an entire integrated tool chain to help customers on their transformation journey.

鈥淲e aim to provide a fast, rich, seamless experience, with prescriptive guidance. And it鈥檚 not just reactive support, but support for customer strategy,鈥� Steinle says. 鈥淲e use a lot of AI capabilities to respond better, or give self-service options. And we use a lot of the 麻豆原创 products to improve our customers鈥� experiences.鈥�

This article first appeared on .

The post Services Help Customers Gain AI Value appeared first on 麻豆原创 Africa News Center.

This is because, today, technology is transforming transformation, says , vice-president and global innovation analyst at 麻豆原创.

And today, transformative technology is all about artificial intelligence (AI).

鈥淓xperts agree that AI is the third great wave of technology after the personal computer (PC) in the 1980s and the Internet in the 1990s,鈥� Elliott says.

鈥淏ut if you are not careful, waves can come crashing down on top of you. AI is very powerful, and can have unintended consequences.鈥�

Although it is most obvious in the visual context, AI is progressing in all directions, Elloitt points out. 鈥淭he process of rapid technological change and disruption is coming to your industry and your line of business.鈥�

Today, what鈥檚 holding up AI disruption is the fact that the rest of the ecosystem isn鈥檛 able to change as quickly.

鈥淚t鈥檚 a bit like parachuting a Formula 1 car into a medieval village. You can鈥檛 use the technology because the rest of the ecosystem isn鈥檛 there.

鈥淚n fact, if AI stopped progressing right now, we couldn鈥檛 use it to its full potential for 10 years.鈥�

For this reason, Elliott says AI could be taken to stand for accelerate innovation. 鈥淲e should use AI to adopt AI.鈥�

Today, a lot of AI and innovation in general is handmade, with developers all starting from scratch and working on one thing.

鈥淭o accelerate the adoption, we need to move to modern assembly lines, so we can use the AI faster,鈥� Elliott says.

He adds that 麻豆原创 provides the machines to build the technology.

鈥淲e offer things like the S, where customers create data that is harmonised in the Business Data Cloud, used to ground AI, which then goes to making a better application. And, as you create applications, you can add customisation.鈥�

麻豆原创 embeds AI in all its applications, and these are available to customers right now, Elliott adds.

鈥淏ut innovation is not actually about technology,鈥� he explains. 鈥淲hat is holding us back is the time, skills, and resources needed to exploit the technology.鈥�

Again, the 麻豆原创 Business Technology Platform can help, with 麻豆原创 Build offering aided innovation 鈥� another possible use for AI 鈥� for agile application development and customisation.

鈥淲e have the resources that can multiply efforts, let developers do more, faster, with customisations and extensions in the cloud.

鈥淎nd now you can do it in natural language, because it is designed for professional developers and also business users.鈥�

AI could also stand for automated identity, Elliott says.

And it could represent automatic integration as well. 鈥溌槎乖� Integration Suite is about AI-powered connections. It will do most of the heavy lifting in connecting system to one another.鈥�

Meanwhile, the 麻豆原创 BTP AI Foundation is a generative AI (GenAI) hub that gives customers everything they need to orchestrate customised AI, with a wide choice of models, grounding, data masking, filtering, prompt management, and lifecycle management.

At the core of any transformation is data, which is everyone recognises is important. 鈥淚n fact, it is really important,鈥� Elliott says. 鈥淚t is the essential input for AI in particular.

鈥淪o AI has to stand for accurate information. AI is useless without accurate information in realtime.鈥�

But there isn鈥檛 a company on the planet that doesn鈥檛 have a data quality problem, he adds.

鈥淚t is not a new problem, we know it鈥檚 hard to get budget to fix data. But this is an opportunity to ask for money to do just that. Now is a great time to establish governance, data ownership, and all the things you have wanted to do for years.鈥�

The second big problem is integrating data 鈥� which is also not a new problem.

鈥淭his is where comes in,鈥� Elliott says. 鈥淎nd we offer it as a service, so we can do more of it for you 鈥� integrate data from 麻豆原创 applications and also external data.鈥�

The helps with relationship extraction. 鈥淵ou already have this information, now we are gathering it and exposing it, and putting it in a format that you can use for your AI,鈥� Elliott explains.

AI could also represent analytics improved, which is why 麻豆原创 Analytics Cloud has the GenAI-powered Just Ask feature.

鈥淚n analytics, there is a dream of total situational awareness. Of bringing in data from all sources, but having overall vision. AI can be used to connect data and deal with fuzziness.鈥�

AI could also stand for agents incoming. 鈥淭his is the next generation of AI, moving along from the current efficient processes with pre-defined steps. But these processes can鈥檛 deal with ambiguity. Agents, on the other hand, can reason through what it needs to do next. So the processes and data can be a lot more unstructured than before.鈥�

Another interpretation of AI could be agents for business, Elliott adds. 鈥淭his is the next evolutionary step 鈥� in fact, some companies are already doing it 鈥� using AI to get rid of a lot of manual work.鈥�

AI could be used for automatic innovation. 鈥淲e have incredible amounts of information and amazing intelligence,鈥� says Elliott. 鈥淪o why not let the systems tell us what we should do next?

鈥淲e are starting to get there, and you can already get great automated system insights. And 麻豆原创 also has best practices, so we can provide customers with that out of the box.鈥�

Once that is in place, and customers need to implement their systems, automated implementation could be the final meaning for AI.

鈥淥f course, technology is not everything,鈥� Elliott points out. 鈥淵ou need to get people to adopt new ways of working 鈥� and AI is good for adoption optimisation and change management.鈥�

In conclusion, Elliott believes that AI today is like a staircase. 鈥淵ou have to take one step after the other. But in the future it will be more like an escalator.鈥�

The key to successful AI adoption lies not in the technology he adds, but in the people, culture, and organisation.

鈥淣o matter how much you have invested in adoption, culture, and change management 鈥� invest more.鈥�

This article first appeared on .

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麻豆原创 SE听(NYSE: 麻豆原创) announced that VFS Global, the world-leading provider of visa, consular and technology services to governments and diplomatic missions, will leverage 麻豆原创 software to help it develop leading-edge AI-powered digital solutions for cross-border mobility and citizen services.

Cross-border mobility and citizen services are becoming increasingly digital, and governments are looking into the use of innovative technologies such as artificial intelligence to drive efficiency and sovereign security. To accelerate its innovation road map and help governments meet the increasingly complex needs of travelers and citizens, VFS Global is adopting 麻豆原创 S/4HANA Cloud Public Edition and other 麻豆原创 solutions.

“We take great pride in partnering with 麻豆原创 as a leading and trusted technology and AI company,” said Zubin Karkaria, founder and CEO of VFS Global. “By combining our deep expertise in visa, consular and citizen services with 麻豆原创’s world-class solutions, we empower governments to enhance efficiency, strengthen security and enable seamless mobility for millions of travelers around the world.”

“With 麻豆原创 solutions at its core, VFS will be able to leverage the latest innovations to become an even stronger partner for governments, travelers and citizens worldwide,” said Christian Klein, CEO of 麻豆原创 SE.

In line with its vision to embrace technological innovation to support governments and diplomatic missions worldwide, VFS Global has also chosen 麻豆原创 Business Technology Platform and the 麻豆原创 Business Data Cloud solution to deliver leading-edge and AI-powered solutions to its customers and to drive operational excellence across its global operations.

“By combining the strengths of VFS Global and 麻豆原创, we are elevating cross-border mobility and citizen听services to the next level”, said Michael Nilles, member of the VFS executive board and chief digital and technology officer. “Strategically, this positions us as a leading force in shaping the future of GovTech and TravelTech, powered by technology and AI innovations that benefit governments, travelers and citizens worldwide,” he added.

The post VFS Global Leverages 麻豆原创 Software to Power Digital Cross-border Mobility appeared first on 麻豆原创 Africa News Center.