Why Agent Orchestration Is The New Enterprise Integration Backbone For The AI Era

Moreover, digital technology allows us to address key areas of concern for customers, such as online security, fraud protection, and wealth planning. Trust, integrity, and credibility remain at the core of every interaction, whether it’s digital or in person. We also leverage AI to enhance customer experience and engagement at our branches and call centre.

I even like coming up with fun ideas for social media posts (if I could just have a drone follow me around to record B-roll, that would be great). Our community is about connecting people through open and thoughtful conversations. We want our readers to share their views and exchange ideas and facts in a safe space. As we continue to integrate AI into scientific discovery, medicine, art, and countless other fields, it is crucial to remember that the “secret ingredient” is not the algorithm but the human ability to think deeply and creatively.

GenAI will orchestrate less than 1% of core business processes.

In essence, agentic AI is designed to mimic human-like agency, allowing it to act and react in ways that are more flexible, adaptable and intelligent. Expect to see adoption in vertical solutions, where the headsets solve specific professional problems. Then there’s the whole virtual monitor and entertainment center application, which could replace peoples’ needs for large TVs (especially those who travel or live in tight quarters) and for big monitors what is cognitive automation for computing use. There is one statement in Gartner’s announcement that I just don’t find fully credible. It says, “In 2024, the leading consideration for most IT organizations is their carbon footprint.” Nope, I don’t think so. With the boom in AI, the ongoing extreme nature of cyberthreats, and just the need to get solutions deployed, it’s unlikely that IT organizations can be characterized as making their carbon footprint their top priority.

TIBCO’s ActiveMatrix BusinessWorks and webMethods (later acquired by Software AG) specialized in real-time data integration, while BEA WebLogic and SAP NetWeaver enabled seamless application connections. Overcoming this automation bias requires a conscious effort to balance the benefits of automation with the invaluable insights of human judgment. Red teaming offers a number of tools that can help with this by fostering critical analysis and challenging the complacency that can arise from overreliance on automated systems. That said, this promise comes with notable risks such as AI “hallucinations” and algorithmic biases that must be managed. To achieve both the efficiency gains AI promises and maintain the trust needed in financial services, it is crucial to strike a balance between automation and human oversight, which may require a human-in-the-loop approach to maintain accountability.

Rather than simply connecting inventory systems to procurement platforms, they would deploy intelligent agents that autonomously monitor stock levels, predict demand patterns and initiate orders without human intervention. This isn’t mere automation—it’s cognitive integration that learns and adapts to changing business conditions in real time. Think of it like a GPS-assisted driving experience – insights from digital technology guide interactions and empower staff to make more informed decisions, ensuring that customers feel supported and understood. For example, our data-driven nudges, which analyse over 15,000 customer attributes, guide our five million customers towards better investment and financial-planning decisions. For CXOs evaluating their technology strategy, agent orchestration represents more than an evolution in enterprise integration—it’s a fundamental shift in how businesses operate.

He pointed to ExxonMobil’s live plant using OPA technology in Baton Rouge, La., in which the company is cutting loops over from the plant’s legacy system to the OPA system. While running both systems currently, ExxonMobil expects to be running fully on the OPA system before the end of the year. I delegate to technology as much as possible to save brain power—and it doesn’t have to be fancy AI. In my TEDx talk, I noted that we have approximately 6,200 thoughts each day. So the more of that mental load you can hand off, the more capacity you have for the projects that make you money in your business.

It’s no secret that as a result of the AI revolution, we’re seeing enterprises, both small and large, aspire to be autonomous with augmented intelligence. The advent of generative AI (GenAI) and LLMs has been a transformative step to get closer to this vision. Collectively, AI, GenAI and agentic AI are poised to be one of the most disruptive technological transformations of our time.

I was surprised to find no mention of smart cars or smart cities, little about programming automation, no real mention of biotechnology or healthcare, and little detailed focus on anything related to green energy. The company predicts that within three years, “Organizations that implement comprehensive AI governance platforms will experience 40% fewer AI-related ethical incidents compared to those without such systems.” The citizen developer train continues to roll and now includes genAI-infused automation apps.

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AI can provide data, identify patterns, and even suggest solutions, but it doesn’t inherently generate the kind of imaginative questions that drive breakthrough discoveries. It is the human mind, with its capacity for abstraction and intuition, that transforms AI outputs into meaningful scientific insights. Cognitive agility turns AI from a passive assistant into an interactive “thought partner,” responsive to the scientist’s creative direction.

Sustained interest and experimentation in AI will support learning and steady progress in 2025. Generative AI (genAI) and edge intelligence will drive robotics projects that will combine cognitive and physical automation, for example. Citizen developers will start to build genAI-infused automation apps, leveraging their domain expertise. In the era of AI, global enterprises are discovering that conventional EAI can no longer keep pace with the demands of real-time business operations.

So, as more dynamic capabilities continue to emerge, thoughts of open architecture have taken hold. ExxonMobil realized in 2010 that it had an obsolescence issue, and technology leaders at the company knew they needed to fix the slow rate of technology insertion into its automation systems. You can foun additiona information about ai customer service and artificial intelligence and NLP. Every decision you make—from what to eat for breakfast to how you’re going to market a new program—drains some of that power. Top-performing scientists appear to be using AI not to replicate known methods but to take creative risks, formulating and testing ideas that might otherwise remain theoretical.

Most people reading this article aren’t going to run out tomorrow and invest in optical computing or any of the other technologies I will be discussing. But keep these technologies (and the ten trends below) in mind as you start to plan your own business’ strategic initiatives. Automation technology has evolved from systems with some advanced control, but mostly focused on talking to the I/O and running an application. Instead, today they’re a lot more about advanced control because of the benefits versus, say, a simple cascaded loop model.

We are developing GenAI digital assistants trained on UOB’s products and services to work alongside our front-line employees who deal with thousands of inquiries from customers daily. We are also building our own generative AI (GenAI) platform with guard rails, and experimenting with multiple use cases in the areas of customer experience, the review of environmental, social and governance (ESG) risks, and tech development. In one of my earlier articles, I highlighted how generative AI is creating a new paradigm in the form of systems of intelligence, bridging the gap between systems of record and systems of engagement. The rise of agentic workflows and multi-agent orchestration is accelerating the need to build the systems of intelligence within the enterprise. The real promise of AI lies in its ability to improve human decision-making. By implementing strategies that emphasize the complementary roles of humans and machines, organizations can enhance decision-making processes, ensuring that they are both efficient and resilient.

With AI in the hands of bad actors, it’s not hard to predict an even more serious rise in very credible-seeming disinformation. AI governance is an umbrella term used to describe frameworks for managing these challenges. This is all about trust, accountability, and the legal and ethical underpinnings of AI systems.

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We also estimate customers’ carbon footprint based on their card spending, offering tips on reducing emissions and the option to offset unavoidable ones by purchasing carbon credits. Through natural language prompts, or verbal instructions directly from customers, the digital assistants can analyse the sentiments of the customer and suggest relevant, concise responses. This complements employees’ efforts to deliver consistent quality service to our customers more quickly, accurately and smoothly. In 2023, we generated over 240 GenAI ideas, with 20 currently in implementation. One key initiative is the CSO (customer service officer) Assistant, which we developed in-house and piloted last year.

By shifting their approaches based on AI-generated insights, these scientists weren’t just responding to AI suggestions; they were actively shaping them, using AI as an extension of their creative process. GenAI innovations, edge intelligence, and advancing communication services are encouraging developers of physical robotics to take a fresh look at embodied AI. This will enable robots to sense and respond to their environment instead of following preprogrammed rules and workflows, exposing them to more complex and unpredictable situations. Decision-makers in asset-intensive industries will begin to see value in the combination and invest in physical automation projects to enhance their operational efficiencies. Despite obvious benefits and enthusiasm, these implementation challenges will hinder 2025 gains.

Here’s another trend that can give you a bit of a queasy feeling but can also prove to be enormously helpful. The principle behind ambient invisible intelligence is that your home, work environment, retail environment — any place, really — is filled with smart tags and sensors, and then managed by AI. (We have an excellent explainer for that.) For the purpose of this article, think of quantum computers as insanely faster than our current machines. What Gartner is saying is that these are trends and areas of innovation, activity, opportunity, and concern you should start becoming aware of.

I have talked to several top executives at Lenovo, Adobe, and Deloitte about this topic. Last year, among the 10 trends it identified for 2024 was AI-augmented development, and we’ve certainly spent a lot of time here on ZDNET discussing AI and programming. Yokogawa served as systems integrator for the ExxonMobil OPA prototype and testbed, but the project used a variety of vendors and a shared data model.

Miller noted that many people mistakenly believe that if they don’t get 8 hours of sleep per night, they’re falling short of what their body needs. So, your sleep therapist may ask you to keep a diary for a couple of weeks to determine how ChatGPT to best address your insomnia. CBT-I combines tried-and-true psychotherapy techniques with established science about sleep. The cognitive part of CBT-I involves exploring and assessing your thoughts, feelings, and behaviors around sleep.

Gartner predicts that spending on software will increase 14% to reach $1.23 trillion in 2025, up from 11.7% growth in 2024. Meanwhile, spending on IT services is expected to grow 9.4% to $1.73 trillion in 2025, up from 5.6% in 2024. “Agentic AI systems autonomously plan and take actions to meet user-defined goals,” said Gene Alvarez, distinguished VP analyst at Gartner, as he revealed the Top 10 Strategic Technology Trends for 2025 at Gartner IT Symposium/Xpo 2024 last week. “Many believe we are far from artificial general intelligence (AGI) that can be even able to ‘take over’ in the dystopian sense often depicted in fiction. The upcoming U.S. presidential election faces heightened scrutiny over these risks as AI tools become more sophisticated and accessible. Second, DBS provides preferential financing rates to help offset the costs of adopting sustainable business practices.

Cognitive behavioral therapy for insomnia (CBT-I) is a type of therapy developed to improve sleep and sleep-related anxiety. Researchers have found that CBT-I can be an effective treatment option for insomnia. There certainly are challenges around agentic AI like data security, ethics and biases and explainability. But as the agents get more sophisticated, these challenges will be overcome.

The emergence of standardized protocols for agent communication and data handling ensures that autonomous operations maintain compliance with regulatory requirements. These standards are crucial for industries like banking and healthcare, where data privacy and security cannot be compromised even as systems become more autonomous. The impact ChatGPT App of automation bias is profound, influencing decisions in critical sectors, potentially leading to catastrophic outcomes if not adequately addressed. As part of UOB’s responsible financing policy, we conduct due diligence checks on new and existing corporate customers for material ESG risks and their track record in sustainability.

Additionally, he is a member of the TinyML Working Group and a Gartner Product Management Ambassador. With a future-focused approach, Mat spearheads innovations that incorporate ethical and environmental considerations, working as a technical authority in the technology sector. His work not only expands the possibilities of technological advances but also ensures that these innovations are sustainable and human centric. What sets agent orchestration apart is its ability to create self-improving workflows. Unlike traditional integration patterns that maintain static connections, orchestrated agents learn from every interaction, continuously optimizing processes across the enterprise. This learning capability transforms integration from a technical necessity into a strategic advantage, enabling enterprises to adapt and evolve their operations in real time.

• Sustained interest and experimentation in AI will support learning and steady progress in 2025.
• Going forward, Gartner says data centers won’t simply look like racks of basic servers but will be a mix of a wide range of technologies, deployed based on need and performance requirements.
• Leveraging agentic AI agents to achieve these phases with conversational prompts would automate DevSecOps and ITOps processes entirely by creating workflows.
• Red teaming offers a number of tools that can help with this by fostering critical analysis and challenging the complacency that can arise from overreliance on automated systems.
• Just as organizations are racing to adopt LLM AI tools to build interactive, natural interfaces, it’s wise for organizations to start thinking now about how Physical AI can add value or solve problems.

By the end of 2024, our 500-strong CSO team in Singapore will use this GenAI-powered virtual assistant to better serve over 250,000 monthly consumer and corporate customer queries. We continue to enhance our existing AI and ML governance bodies and frameworks to cater for GenAI risks, while guided by MAS’ fairness, ethics, accountability and transparency framework to ensure the technology is deployed in a responsible manner. As AI adoption scales and evolves in the financial industry, trust, fairness, and security must be reinforced. Close collaboration between financial institutions, AI developers, and regulators is required to establish effective governance frameworks that address ethical use, fairness, and long-term reliability.

This way, customers can receive clearer and more accurate and transparent reports, making it easier for them to track their investments’ impact. While digital touch points are growing, insurance is a people business and the personal connections established by our financial representatives remain valuable for complex insurance needs. Gartner claims that one of the trends to watch is the use of technologies that “read and decode brain activity” to improve human cognitive abilities.

• Suleyman’s concerns align with broader academic opinion, which warns of AI’s potential to destabilize elections globally if not properly controlled.
• It’s no wonder Gartner contends that sustainability will be a big focus in the coming year.
• At OCBC, we have implemented frameworks to proactively assess the fairness of AI models before real-world deployment, with governance structures including committees to review compliance and materiality, ensuring responsible scaling.
• In all the exciting discussions of AI over the past year, the physical world has been largely overlooked.
• Expect to see adoption in vertical solutions, where the headsets solve specific professional problems.

Welcome to the age of agentic AI, where companies that grow and thrive will focus on the most important business currencies of trust, speed, scale, and personalization, while also dealing with the balance between automation and meaningful work. Looking ahead, enhanced collaboration between asset managers, data providers and regulators will drive the development of standardised ESG reporting frameworks. Leveraging AI and ML will refine data accuracy – enabling investors to make better-informed decisions – while blockchain may offer transparency in ESG compliance, shaping a future of accountable, climate-conscious investments.