Project Category: White Paper
AI for SAP ECC: A Practical Path to AI Adoption
As AI reshapes business operations, organizations are looking for practical ways to apply it across their SAP environments. But for businesses still running SAP ECC, adopting SAP-native AI capabilities is not as straightforward as it is with S/4HANA Cloud.
The good news is that businesses do not have to wait for migration to start exploring AI. With the right architecture, organizations can begin capturing value from AI on ECC today while keeping their future S/4HANA plans in view.
Why It Matters Now
SAP ECC mainstream support ends on December 31, 2027. Many businesses are still evaluating their ECC-to-S/4HANA migration plans. This creates an important window to take a practical approach to AI.
What You’ll Find In This Piece?
- Where AI can realistically be applied inside an SAP ECC environment today
- Why native AI capabilities are constrained on ECC
- Four practical AI approaches and their value, effort, and risks
- Recommended paths for higher AI implementation success
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What You'll Learn
Why Joule is not available on ECC in the same way as S/4HANA Cloud.
How on-premises customers can access Joule by committing 50% of their maintenance spend to cloud-first services.
Use cases worth exploring and key to choosing the right architecture.
A two-stage bridge architecture that delivers value on ECC today.
How to capture AI value before SAP ECC mainstream support ends on December 31, 2027.
Key Take Away
AI on SAP ECC is possible!
The key is to connect near-term AI value to your future SAP environment.
The key is to connect near-term AI value to your future SAP environment.
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Governing Vibe Coding in the Enterprise: From Shadow IT to Sanctioned Path
Vibe coding is already happening inside your organisation. Business users in finance, operations, HR, and marketing are building working software in hours using AI tools. In most cases this is happening without IT's knowledge, on platforms IT has never approved, with data living outside your perimeter.
This is not a future risk to monitor. It is a present exposure to manage.
Most available guidance on AI-generated code is written for developers or for security researchers. This paper is written for the person who has to make the governance decision and who needs a framework, not a warning.
What You'll Find in This White Paper
- How to tell the difference between real enterprise governance and security
- A seven-parameter framework for evaluating any vibe coding platform
- A side-by-side comparison of eight popular AI platforms
- The operating model that makes a sanctioned path easier than going rogue
- A due-diligence checklist you can use with any vendor, including new entrants
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What You'll Learn
Why prohibition and permissiveness both fail and what works instead
What "deploy to your own cloud tenant" actually means in practice
How to govern two very different kinds of builder with one coherent policy
Why platform selection alone is not a governance strategy
What a validation layer is, why it's non-negotiable, and how to implement one
Key Take Away
1 in 10 vibe-coded apps had their database open to the internet. Vibe coding is easier, but it is not always safe.
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From Discovery to Deployment: A SME Leader's Playbook for Agentic AI Implementation
Agentic AI has moved past the pilot stage. It is no longer a capability reserved for enterprises with multi-year transformation budgets. The cost curve has flipped making Agentic AI adoption easier and feasible for SMEs. The question is no longer whether your business can afford to deploy AI agents. It is whether you can afford the delay.
This playbook exists because most available guidance on Agentic AI is written either for engineers or for investors, neither of whom is the person who has to make the decision.
What You'll Find in This Playbook
- What is Agentic AI? Learn the fine differences that sets apart Agentic AI from other forms of AI.
- How to choose the right model for your use case Not all AI use cases are built the same. Learn how to choose the right Agentic AI model for your use case.
- The prerequisites for Agentic AI adoption Know in detail about the various prerequisites you have to set in order before you can dive into Agentic AI adoption at scale.
- Use cases for Agentic AI adoption in your enterprise Learn from Fingent’s AI expertise the various use cases that have worked for other enterprises and how they can work for you.
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What can you learn about?
The state of Agentic AI for SMEs
The honest answers to real objections
How to go from idea to live agent
How to choose the right tools
What a real deployment looks like
Key Take Away
SMEs across industries can achieve 70–80% reductions in manual processing time Agentic AI deployment.
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Reimagining Business Applications with AI
AI is imperative for businesses today. However, business leaders are still hesitant to adopt AI solutions! Why? One big reason is the concern about how AI adoption will affect the company’s existing applications. Of course, cost and complexities are other concerns around AI adoption.
Are these mere myths, or is there any truth to it? This whitepaper will take you through many such questions and more. Read the complete whitepaper to learn how the right approaches to employing AI in enterprise software can help sustain and enhance business processes.
What you’ll find further in this whitepaper?
- Ways AI can improve existing business processes
- Myths around AI adoption debunked
- Examples of AI integration in business
- Tips for business leaders to derive value from AI investments
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What can you learn about?
AI Copilots: Impact & benefits
Identifying opportunities with AI
Strategizing a successful AI adoption plan
Integrating AI to transform processes
Turning AI investments into returns
Key Take Away
By 2026, 30% of new applications will employ AI to create personalized adaptive user interfaces. It’s time to adopt fast and right!
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Redefining Legacy System Modernization with AI Mastery
Business leaders are prioritizing application modernization. The top reason is the ease of leveraging new-age technologies. Application modernization paves the way for improved business performance, efficiency, and customer experience through seamless technology utilization.
This whitepaper will walk you through the top benefits of application modernization and how modern technologies like AI can be integrated into the mix. Learn the business impact of AI integration and strategies for successful AI adoption.
What you’ll find further in this whitepaper?
- Understanding Legacy Applications and Their Modernization Needs
- AI’s Impact on Legacy Application Modernization
- Mastering Strategies for Successful AI Adoption
- Can Generative AI Revolutionize High-Value Modernization?
- Pioneering the Future: AI’s Evolution in Legacy System Transformation
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What can you learn about?
Identifying app modernization needs
Where AI can strengthen app intelligence
Managing risks when adopting AI
AI integration strategies
Powering business capabilities with AI-driven innovations
Key Take Away
86% of companies believe that outdated technology that doesn’t leverage data hinders their ability to respond effectively to customer needs.
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AI Applications: Transforming Industries with Practical Tech Solutions
The world is on the cusp of a transformative era, and at the forefront is Applied AI. This cutting-edge technology harnesses the power of artificial intelligence to address practical challenges across various industries, offering innovative solutions that enhance efficiency and drive progress.
This whitepaper comprehensively explores the real-world impact of applied AI, featuring insights into how AI-driven solutions are revolutionizing different sectors. Through compelling real-life examples, the whitepaper illuminates the transformative potential of Applied AI, providing a glimpse into the present and future landscape of this cutting-edge technology.
What’s inside?
- How Applied AI addresses real-world challenges
- AI-driven solutions for different industries
- Real-life examples of AI-powered solutions
- The Future of Applied AI
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What can you learn about?
AI applications in various industries
Six Solving data complexities with AI
How AI augments innovation & creativity
Driving personalization in customer services with AI
The future trends and impact of Applied AI
Key Take Away
The AI market is projecting an annual growth rate (CAGR) of 42.2%. Businesses must leverage this fast-evolving technology now!
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How To Reinvent Your Enterprise With Digital Transformation?
Technological advancements, shifting consumer preferences, and dynamic market conditions are forcing companies to reinvent themselves to stay competitive and relevant in this digital era. How does digital transformation enable enterprises to reinvent themselves?
This white paper will explain in detail why every entrepreneur should plan to reinvent their business regularly and how digital transformation helps them steal the spotlight from competitors.
What you’ll find further in this white paper:
- Various stages of digital transformation
- Attaining success in the digital age with business reinvention
- Primary drivers of business reinvention
- Preparing a successful digital transformation strategy
- Choosing the right digital transformation partner
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What can you learn about?
Examples and stories of digital transformation
Six stages of the digital transformation journey
Reasons for businesses to reinvent themselves regularly
Tips to develop a digital transformation strategy
Checklist for selecting a digital transformation partner
Key Take Away
Embracing digital transformation is the stepping stone to successful enterprise reinvention.
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How To Drive A Competitive Edge With Innovation?
With stiff market competition and ever-changing customer demands, businesses today, big or small, are all bound to innovate with smart technologies. But how can you identify and leverage the right technologies that drive a competitive edge and helps your company services stand out from the crowd?
This whitepaper will take you through in detail, why businesses today need to focus and strategize on driving competitive agility, and how innovation contributes to it!
What you’ll find further in this whitepaper?
- The need for a competitive edge drives today’s businesses
- How does innovation contribute to competitive advantage
- What next-gen tech innovations help businesses stand apart?
- Benefits of customized software vs. commoditized solutions
- Tips to choose a custom software development partner
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What can you learn about?
Strategizing competitive cost structure
Making existing staff more productive with custom tools
Improving internal company processes with AI and automation
Deploying cloud-native capabilities
Differentiating the benefits of Customized Software vs. Commoditized Solutions
Key Take Away
Companies with a strong brand image will be able to increase consumer loyalty and develop lasting customer relationships.
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Advancing Business Software Development With Cloud-Native
Business Impact Brief by 451 Research
Surviving in today’s market is difficult without feature-packed business software. And Cloud-Native is the strategic approach to building modernized applications that drive a streamlined digital transformation journey.
This 451 Research will help you get a clear perspective on the trends and processes to transit to a Cloud-Native and DevOps software development approach!
What you’ll read further:
43% of companies say microservices are the most critical cloud-native approach for app development and deployment.
Today’s digitally equipped customers demand quick, responsive, and unique service experiences. With apps that are flexible and scalable with time, enterprises can remain future-ready, plus gain a competitive edge by seamlessly deploying the latest technologies. And Cloud-Native can bring this to the table!
The 451 Research, a part of S&P Global Market Intelligence, will help your leaders gain useful insights on how Cloud-native powers app delivery, how to tactfully adopt Kubernetes, and how to get smarter with a serverless approach.
Download the complete report and read further about:
- Why your business needs Cloud-Native
- Cloud-Native adoption progress
- The business impact of implementing Cloud-Native
- Business future with Cloud-Native
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What can you learn about?
How Cloud-Native opens up a world of innovative possibilities
Cloud-Native is a strategic priority for enterprises undertaking net new development
Cloud-Native powering app delivery
Finding the right mix with Cloud-Native
Leveraging the abilities of Cloud-Native with the best partners
Key Take Away
“Cloud-Native” is now the prevailing mindset and methodology for infrastructure and application architecture.
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Is Cyber Resilience Overtaking Cybersecurity For Good?
The current cyberspace is fragmented with an increasing presence of cybersecurity blind spots. While the next-generation technologies foster business growth, their intrinsic nature makes these technologies vulnerable to cyber hazards.
it’s time for enterprises to upgrade from cybersecurity to cyber resilience. As cyber risks assume new forms, enterprises should develop the ability to not just react, but anticipate. This is where cyber resilience becomes significant.
What you’ll read in this white paper:
- Understanding cyber resilience
- How cyber resilience differs from cyber security
- Cyber resilience framework
- Why do enterprises need cyber resilience
- How to become a cyber-resilient organization
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What can you learn about?
How cyber-security boosts deploying top technologies
How Cyber Resilience is different from Cybersecurity
How does Cyber Resilience work
A detailed look into the top 10 cyber resilience frameworks
How and why become a Cyber Resilient organization
Key Take Away
By 2025, more than 50% of the business revenue will be driven by cloud and other 4IR (Fourth Industrial Revolution) technologies!
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