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AI-Driven Data Governance and Compliance Best Practices

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Organizations that manage large volumes of data are increasingly turning towards artificial intelligence-backed solutions for efficient, scalable data governance and compliance.

At the same time, many organizations still need to allocate extra resources to keep up with evolving regulatory requirements. In this guide, we’ll walk you through how to maximize AI’s potential to solve data management and compliance challenges while ensuring ease and scalability in use.

 

Reinvent Your Content Management Process

 

One of the main causes of poor governance is unstructured data — information that doesn’t follow a predefined format, including documents, videos, and images. According to a Box-sponsored IDC whitepaper, 90% of business data is unstructured.

The vast amount of information businesses generate often remains hidden in systems and is typically difficult to access and use. Managing fragmented data puts businesses at risk of compliance gaps and security breaches.

But if you move your business-critical information to an AI-powered content management platform, you can automatically classify and protect your information, reducing these security risks.

Intelligent systems provide:

  • AI algorithms to automatically categorize information, extract key metadata, and transform raw information into actionable insights
  • Enterprise-grade security controls, such as access permissions, encryption, and audit logging, to protect sensitive files
  • Customizable retention schedules to meet regulatory and business needs
  • Systematic disposition management for outdated information

For a hassle-free migration to these cloud-based solutions, choose a reliable content migration tool. Make sure this tool’s features include both on-premise and cloud connectors to support smooth integration across different environments without losing data or productivity.

 

AI-Driven Classification

 

Many organizations still manually tag confidential data, leading to inconsistent labeling and dangerous blind spots. This can be particularly risky for organizations that share data online. For example, financial services file sharing entails big risks due to the confidentiality of data in these files.

With AI-powered classification, the system automatically scans documents, images, and even audio files to detect personally identifiable information (PII), financial records, and other regulated data types.

AI models analyze content patterns, contextual relationships, and metadata to accurately classify information according to your governance policies. This approach helps reduce the risk of oversights when handling sensitive customer information or intellectual property.

For best results, start with a baseline classification scheme that aligns with your regulatory requirements, then allow the AI to learn from user corrections and feedback. This progressive learning approach improves accuracy over time while adapting to your specific business context and terminology.

 

Develop AI-Enhanced Risk Assessment Frameworks

 

Traditional risk assessments rely heavily on historical data and manually developed models. AI, on the other hand, continuously analyzes massive datasets to identify emerging risks before they become problems.

Machine learning algorithms can detect subtle patterns and correlations that human analysts might miss, particularly when dealing with complex regulatory environments.

AI can even reduce false positives by learning from previous assessments and refining its detection capabilities. This means your security team spends less time chasing phantom threats and more time addressing genuine risks.

To get started, strengthen your existing risk management framework with AI analysis tools. Focus first on high-volume, data-intensive processes where manual oversight is most challenging.

AI will supplement your team’s expertise by handling the heavy computational lifting. Doing so will free your specialists to focus on additional governance challenges that require human judgment.

 

The Future of Data Governance: Powered by AI

 

AI is steadily changing data governance by empowering businesses to stay compliant and agile without getting bogged down by manual tasks.

Instead of replacing human force, it enables teams to focus on high-value activities that require human intervention. As data continues to grow, AI will be the critical partner businesses need to thrive.

 
 



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AI in Travel

Is that trip worth It? SAP Concur uses AI to find out

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In the new hybrid working reality, organisations are adjusting their approach to travel policies and there is an increasing disconnect between boardrooms and business travellers. There is an overwhelming sense among those people who work for an organisation and travel for business or as part of a company’s travel footprint that travelling for business is important to collaboration and deal-making; however, many CFOs, including leaders in procurement, safety and security and other stakeholders, are more cautious, generally viewing travel as replaceable, riskier and audit exceptions.

In an exclusive interview with Dataquest, Brett Wheeldon, Vice President of Solution Consulting for APAC at SAP Concur, explains how the organisation is using Artificial Intelligence (AI), analytics and automation technology to help organisations identify metrics that allow the organisation to actually measure and quantify the true ROI of business travel resulting in closing the perception gap, enabling cost control flexibility that connects to the sustainability and culture goals of organisations.

The insights referenced in this conversation derive from SAP Concur’s recent global survey of finance leaders, travel managers, and employees that explored shifting views regarding business travel in the current hybrid work environment. The findings expose critical disconnects around travel value, budgeting priorities, and sustainability expectations — especially important for Indian organizations that want to optimize their travel programs.

The survey reveals that 99% of employees see business travel as essential, yet 43% of CFOs believe most trips can be replaced by virtual meetings. How does SAP Concur using AI and analytics to help organizations quantify the ROI of in-person travel versus digital alternatives?

At SAP Concur, we have established a gaping disparity between CFO views and employee feelings about business travel.  As many CFOs opt for virtual meetings, 99% of employees still value face-to-face interactions. We support organizations using AI and advanced analytics to capture the true ROI of in-person travel; we take raw travel data and integrate it with CRM data to recognize sales outcomes. This allows for the ability to make better decisions — when, why, and who should travel; as well as, when a handshake has a greater impact than a screen share.

With 80% of business travelers willing to hit the road and 45% of CFOs worried about travel reluctance, how can intelligent platforms like SAP Concur help enterprises assess and act on employee travel sentiment at scale?

With a clear gap between employee willingness to travel and CFO concerns about travel reluctance, SAP Concur bridges this divide through sentiment-aware travel intelligence. By analyzing real-time feedback, booking patterns, and opt-out behaviors, we help organizations capture employee sentiment on a scale. Whether the hesitation stems from safety concerns, burnout, or logistical challenges, this data is surfaced in actionable dashboards for CFOs, HR leaders, and travel managers.

Powered by AI, the platform flags at-risk traveler groups and recommends targeted interventions—from policy adjustments to wellness initiatives—helping companies sustain business travel momentum while prioritizing employee well-being.  

The driver behind the CFO reluctance I believe comes from the lack of traveler risk management capabilities, this can create significant organisational exposure, your travel management solution must be able to tell you who is asking to travel, who is travelling, where they are and have the ability to connect with them instantly, and of course those travelers be able to reach for support seamlessly.

There’s a clear disconnect in budget expectations—most employees expect cuts, while CFOs anticipate growth. How does SAP Concur leverage real-time data and predictive insights to align travel budget planning across roles?

While many employees anticipate reductions in travel budgets, expecting tighter controls or fewer trips, 90% of CFOs project stability or growth. This disconnect can lead to misaligned planning and missed opportunities. SAP Concur bridges this gap through real-time data and predictive insights, bringing transparency to travel budgeting. By tracking spending against ROI and forecasting needs by department or role, our platform empowers CFOs and travel managers to align expectations and manage costs proactively.  

When I talk to customers the most typical practice is arbitrary travel freezes simply because there is not link between travel and where the best investment of the resources should be.  Something that resonates with CFO’s is the visibility of expenses from pre-spending through to payment.  

With a formal request solution in place that tracks through the entire spending cycle, Finance teams can tune spending on the fly and empower cost center owners to act as the company requires.  It’s a case of being able to ratchet up or down with science.  Of course, another salient point is the ability to apply course correction style spend policies in real-time like nature.

The survey shows conflicting perceptions of influence—69% of CFOs say they make the key travel decisions, while travelers and travel managers feel sidelined. Can SAP Concur’s role-based workflows and collaborative dashboards help close this gap?

At SAP Concur, we believe in bringing clarity and collaboration to processes. Our platform enables role-based workflows, where input from all stakeholders — finance, HR, travel, and employees — is built into the approval and policy-setting process. With collaborative dashboards, decisions are no longer made in isolation. Everyone can see the rationale behind a travel policy, understand the cost implications, and share accountability. It’s not just about hierarchy — it’s about making the best decision for business, backed by data.

One of the key metrics we are asked to help customers know more about is around compliance, this is often well understated.  We see no matter how we cut the data 23% of all transactions falling outside of an orgnanisations spend policy.  When you look further into this there are savings in the range of 5%-15% available, this is where live audit rules, workflows and especially AI performing auditing functions really shine, large volumes of data can be processed very quickly to drive out value resource wastage.

With 79% of employees saying important trips are being curtailed due to cost, how does SAP Concur use automation or AI-powered spend optimization to help organizations prioritize high-impact travel while controlling expenses?

With 79% of employees reporting that vital trips are being canceled due to cost, companies face the risk of missing key business opportunities — whether it’s closing deals, strengthening partnerships, or retaining customers. SAP Concur helps address this challenge with AI-powered spend optimization, enabling organizations to make smarter, data-backed decisions about travel.

Our platform analyzes both historical patterns and real-time spend data to evaluate which trips deliver the highest business value. It then ranks travel based on metrics such as revenue potential, strategic importance, customer engagement, or urgency — ensuring that high-impact trips get prioritized even in times of financial constraint.

This intelligent guidance helps travel managers and finance teams allocate resources more effectively, striking the right balance between cost control and business growth.  Defining what is high impact is also critical, from here the ability to add that criteria into your organisations travel request solution will significantly help with classification and approving of travel that is aligned to the goals of the business.

Built-in policy compliance further ensures that every travel decision aligns with organizational goals, allowing businesses to move from reactive cutbacks to proactive, value-driven planning.

As sustainability gains ground, is SAP Concur enabling Indian companies to track the carbon footprint of their business travel and make greener, data-backed decisions?

Sustainability isn’t just a checkbox for us — it’s a strategic pillar. Especially in markets like India, where 99% of employees are willing to personally invest in better travel, we’re empowering organizations to track, manage, and reduce their carbon impact. SAP Concur’s platform includes carbon tracking capabilities, aligned with global and regional standards. We help Indian enterprises measure emissions per trip, compare greener travel options, and integrate sustainability into policy enforcement in a structured, impactful way. With intelligent reporting tools that map travel activity to ESG goals, our platform empowers companies to make data-backed decisions that are both environmentally responsible and strategically aligned with their business objectives.

With SAP Concur travel, organisations can prioritise sustainability as they desire and present the potential travel to the traveller aligned to the green goals and policies of the business, this allows informed choices to be made.

At SAP Concur, we’re not just facilitating travel — we’re shaping the future of how companies navigate mobility, manage costs, care for their people, and protect the planet. Business travel isn’t going away — it’s getting smarter. And we’re proud to lead that evolution.





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AI in Travel

The Future Of Middle East: AI Enhances Travel Experiences

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August 12, 2025 |

Nestled at the crossroads of the Middle East, the UAE is experiencing an accelerating infatuation with artificial intelligence (AI) in the travel sector, marking a decisive evolution within the tourism landscape. The latest findings from Tourism Economics, compiled for Arabian Travel Market, reveal that approximately 60% of UAE travelers are now delegating the logistics of their journeys to AI-driven platforms a proportion that eclipses the 48% reported elsewhere in the world. This pronounced divergence not only underscores the emirates’ early-adopter mentality but also hints at the deepening integration of machine intelligence into the everyday rhythms of tourism.

The Emirates’ swift embrace of artificial intelligence mirrors the national push for comprehensive digital renewal overseen by the federal leadership. To anchor its reputation as a worldwide technology magnet, the country has woven AI into its long-term vision, most notably in the UAE Artificial Intelligence Strategy 2031. This blueprint seeks to sharpen the national competitive profile by embedding intelligent systems into every industry, tourism included, thereby fueling sustainable economic expansion. Travelers in the region, therefore, find themselves at the forefront, using AI to simplify and tailor every stage of their experiences.

The Role of AI in Personalized Travel Experiences

AI’s role in the travel and tourism industry is expanding, particularly in delivering tailored experiences. The ability of AI to analyze vast amounts of data and provide real-time recommendations is a game changer for both travelers and businesses. With its power to track preferences, anticipate needs, and suggest personalized options, AI is making travel planning more efficient and enjoyable than ever before.

For tech-driven travelers, AI offers not just convenience but a unique ability to design their ideal travel experiences. Whether it’s receiving real-time travel updates, adjusting itineraries on the go, or discovering hidden gems within a destination, AI ensures that the traveler’s journey is seamless and tailored to their personal tastes. For instance, AI can predict the best times to visit attractions or suggest lesser-known activities that align with a traveler’s specific interests.

Moreover, as AI continues to evolve, its integration into booking systems, customer service, and post-trip follow-ups is transforming the way travel companies operate. The result is a more streamlined, efficient experience for both tourists and the industry players catering to them. Travel agencies, hotels, airlines, and event organizers are harnessing AI to improve customer service and drive economic impact, all while aligning with the growing demand for personalized experiences.

AI’s Impact on the MICE Industry

AI is also making waves in the Meetings, Incentives, Conferences, and Exhibitions (MICE) sector, contributing to significant efficiency gains. With the global meetings and events industry expected to reach $945 billion in 2025 and projected to exceed $2.30 trillion by 2032, the need for scalable and intelligent tools has never been greater. AI is enabling event organizers to automate tasks such as sourcing vendors, translating content in real-time, and generating tailored event experiences for attendees.

For businesses in the MICE sector, AI is proving to be an indispensable tool, offering insights that lead to enhanced attendee engagement and loyalty. From personalized agendas to interactive event features, AI is revolutionizing how business events are planned and executed, making them more immersive and attendee-centric.

Future Prospects and the Rise of Responsible Innovation

The future of AI in the travel industry looks bright, with technology poised to continue shaping the way we travel. But as the integration of AI grows, so does the responsibility to ensure that its implementation is ethical and human-centric. Danielle Curtis, Exhibition Director ME at Arabian Travel Market, emphasized that the most effective travel innovations are those that amplify human interactions and respond directly to customer needs.

As we embrace these technological advancements, it is crucial to place people at the center of every solution, Curtis said. The key is to ensure that AI enhances the customer experience, rather than replacing the personal touch that makes travel memorable.

This mindset aligns with the UAE’s broader approach to responsible innovation. By focusing on human-centric AI solutions, the country is setting the standard for the future of tourism, one where technology complements and enriches the traveler’s journey without overshadowing the essential human aspects of hospitality.

Conclusion: The Growing Trust in AI Among UAE Travelers

More visitors in the UAE are leaning on AI for planning their journeys, and the entire Middle East tourism sector is feeling the change. AI’s strength in tailoring details for each traveler is boosting both happiness and profit. With the UAE showing the clearest path forward, AI is quickly proving itself essential for adventurers and the industry alike ushering in a fresh and exciting chapter for tourism across the region.

Looking forward, AI’s influence on tourism is only set to deepen. As more travelers turn to AI-powered tools, the industry will keep fine-tuning services to meet those heightened expectations, paving the way for journeys that are increasingly intelligent, streamlined, and uniquely tailored to each person.



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AI in Travel

How has AI changed travel investors’ mindset?

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Artificial intelligence (AI) adaptation is imperative, but companies have to decide exactly how they want to leverage these new tools. This conundrum has challenged travel investors as they seek to understand the environment and separate the winning AI-focused startups from the hopefuls.

On top of this, investors face pressure from the consumer side, with the majority ready to use AI as part of the travel research and booking process.

Chris Hemmeter, managing partner at Thayer Investment Partners, said AI has rattled suppliers, intermediaries and incumbents to their core.

“What was a mature and well understood marketplace has been stood on its head by a technology that’s evolving so quickly it’s hard to keep up,” said Rod Cuthbert, founder of Viator.

Cuthbert said founders with AI-based solutions are everywhere, but uncertainty is making investors unwilling to jump into markets that are in a state of flux.

Some of this is reflected in travel funding data, which has hit a 10-year low after spikes in 2021 and 2022.

Mike Coletta, senior manager of research and innovation for Phocuswright, attributed the funding shortage to a number of factors but said the biggest might be due to “core AI/LLM companies eating up so much of the available funds.”

Industry and investor response to AI has evolved with the technology, according Gilad Berenstein, founder of Brook Bay Capital LLC. He saw 2023 as a B2C race to launch a generative AI offering.

“Most of those were mediocre and are no longer around, but they pleased the markets,” Berenstein said. “2024 was the ‘sober up and focus back on business phase.’ And I call the 2025 to 2027 era the ‘mass adoption phase of the great commoditization of AI.’”

Cuthbert, who is also following AI developments closely, had a blunt take: “Anyone who says they know how it’ll all turn out is on drugs.”

The investor mindset

Bottom line, AI will have a lasting impact on the travel industry. The technology has already altered travel, affecting everything from customer service to engineering and beyond.

But the industry is more concerned about how discovery, search and booking will change, according to Cuthbert, with both anxiety and excitement high right now.

The excitement stems from the opportunity AI presents, while the anxiety centers on the difficulty in planning for longer-term success—even five to 10 years out—especially as AI assistants and agents could completely change how companies are run, according to Coletta.

Opinions vary as to how desperate the investor outlook is, but Berenstein said it’s a significant factor.

“None of them will say so, but they are all under pressure from both LPs and the market as a whole to get as much exposure as possible to AI,” he said. “Many will even say that nothing has changed since the arrival of the great commoditization of AI, but I don’t buy that.”

Hemmeter said “FOMO” or “fear of missing out” is another factor, adding “you can’t pretend your way to being an AI business.”

What was a mature and well understood marketplace has been stood on its head by a technology that’s evolving so quickly it’s hard to keep up.

Rod Cuthbert, Viator

For Coletta, however, desperation could come a year or two down the road as investors get a better understanding of how AI will change travel marketing, operations and distribution.

A further possible outcome is that LLMs begin to facilitate more direct bookings to suppliers. That might not sit well with industry incumbents—who are also beefing up their AI capabilities, partnering with major AI providers, creating their own products and snapping up startups.

“I can’t imagine Booking, Expedia, Viator and others sitting by idly while that happens, but that challenge is certainly in the cards,” Cuthbert said.

How does this differ from past technology booms?

Plenty of unknowns remain as AI evolves and develops, but experts see clear differences between this era and previous ones.

“When people say that it feels like this technology revolution is moving faster than ever before, they are correct,” Berenstein said.

The fact that AI is easy to use is another key difference, Berenstein said, noting that it leads to an accelerated adoption rate, more competitive markets and more choice for consumers. 

“And it’s all happening with the tools in consumers’ hands rather than starting inside universities or corporations, which this time around are moving much more slowly due to the risks involved,” Coletta said.

Additionally, AI startups can run on a leaner budget while building products faster. This means they require less from an investment standpoint—potentially changing what founders might need and how investors strategize.

“The big dollars that are plowing into businesses, the eye popping rounds and amount of money that are being invested—those are being invested into businesses that actually have real and profound revenue,” Hemmeter said. “OpenAI has incredible, enormous revenue. Those businesses aren’t just going to go away.”

Hemmeter compared the AI boom to the rise of the internet.

“It seems like everything from the initial days of the internet, the late 90s, that sort of explosive energy,” he said. “It got way overheated. That’s exactly what led to the dot-com crash.”

But Hemmeter doesn’t see that happening with AI, partly because startups can run on leaner budgets and are still operating privately. This differs from the dot-com crash when many companies went public and later went under, undermining confidence in internet ventures.

“I don’t think that the public markets are going to buy that on pre-revenue AI stuff,” Hemmeter said. “When companies shut down and they’re private, it’s much quieter. It’s a much slower, sort of painful burnout. So it doesn’t really have an effect on sentiment overall. It’s just part of the value chain of institutional capital. That’s why we build portfolios, because some work and some don’t.”

Where does this leave founders?

Right now curiosity is high on the investor side—and that’s good for founders.

“Everyone is trying to speak with everyone to learn as much as possible,” Berenstein said.

But Coletta cautioned that many bets will still be conservative, so founders and founding teams should stick to the existing principles of pitching.

In a market with endless hype, it’s not the product demo or your pitch that will resonate most, but rather credible signs of actual ROI creation for your clients and the market.

Gilad Berenstein, Brook Bay Capital LLC

Hemmeter also said the basics remain the same.

“That part of the process hasn’t changed,” he said. “Entrepreneurs first have to have a very strong narrative around what they’re doing, and that narrative is a function of identifying a difficult to solve problem in a very large market, and then [they need] a perspective on exactly how they’re solving that problem, why it’s defendable and interesting.”

Being clear on a vision for the future matters, too, according to Coletta. That can help founders stand apart and demonstrate good business sense.

Meanwhile, Berenstein advised founders to double down on their commitment to tracking and measuring return on investment.

“In a market with endless hype, it’s not the product demo or your pitch that will resonate most, but rather credible signs of actual ROI creation for your clients and the market,” Berenstein said. 



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