Resource Regions: Central and Eastern Europe

Building strong detection and response capabilities is vital for organizations seeking to improve their cybersecurity posture and business resilience.

Many organizations do not have the in-house skills or resources to make the required improvements in detection and response. For example, just 15% of large organizations in Europe have sufficient security operations center (SOC) analyst skills in house, and churn and burnout among these analysts are often high. These challenges can have a strong negative impact on a company’s cybersecurity posture.

Consequently, many organizations are turning to service providers to fill specific gaps in their detection and response capabilities or are outsourcing their requirements in full.

The high level of interest in managed detection and response (MDR) has led to many service providers entering the market, which has now become highly competitive, providing customers with a greater range of services. This is not always the case for IT services markets, some of which are dominated by a handful of players.

The choices for detection and response include telecom and network players, IT services companies, systems integrators, cybersecurity specialists, professional services companies, and vendors with services offerings. Each has something different to offer enterprises.

Many of the service providers in this market have a global presence, others have a more regional focus. Service providers have different types and levels of skills and knowledge, and so there are differences in the ways they can support the unique needs of European organizations.

Europe is a complex patchwork of numerous factors, including cultural, language, economic, and regulatory  factors (among others)meaning that in-region (and sometimes in-country) capabilities are vital to meet customers’ objectives.

The IDC MarketScape: European Managed Detection and Response Services 2024 Vendor Assessment examines the strengths and weaknesses of leading providers of European MDR services. We have identified eight leaders and nine major players in this market, providing a detailed analysis of the services offered by each; this is aimed at providing European organizations with clear guidance to assist them in their purchasing decisions.

There are marked differences between providers in terms of target customers, technical capabilities, and detailed expertise in addressing the needs of European organizations. Organizations should evaluate all these aspects carefully to ensure they choose a service provider that delivers on their business and technology objectives. This will include making optimal decisions that relate to technical capabilities, services and skillsets, target markets, and strategic roadmaps.

One critical area to consider is onboarding and time-to-value. Customers should ensure they are clear on delivery capabilities and the desired operating model. They should be fully informed by their provider in advance how they will be onboarded and the timing of key steps.

As the threat landscape is becoming ever more complex, with a growing ecosystem of actors, the need for proactive detection and response capabilities is becoming essential for all organizations across the region. According to IDC’s EMEA Security Services Survey, MDR is now a priority for 65% of organizations, with the market in Europe forecast to record a compound annual growth rate of 29.2% from 2022 to 2027.

The way businesses transact with one another is transforming. This presents an opportunity for vendors to develop innovative solutions that meet the needs of the modern B2B landscape.

The Emergence of a New Transaction Ecosystem

After decades of paper-based dominance, business-to-business (B2B) transactions are digitalizing and digitally transforming. e-Invoices and digital networks are streamlining accounts payable and receivable processes, enhancing efficiency and accuracy. Transactions are becoming enriched with data, especially to display sustainability-related information.

Spurred by new regulation, digital-first thinking, and good corporate governance, these developments are changing how businesses collaborate and transact with one another. Vendors have the opportunity to seize the moment and develop innovative solutions that meet the needs and requirements of today’s B2B landscape.

Transformation Drivers

What’s driving the transformation of business transactions? What is the future of the transaction?

Some 70% of businesses regard e-invoicing as an opportunity that goes beyond compliance and can unlock benefits like greater efficiency and faster payments.

According to IDC, regulations, digitalization, and sustainability are the three primary drivers of B2B transformation.

• Regulation: The introduction of e-invoicing regulations is accelerating the shift toward digital processes in B2B interactions. European and global businesses will need to adopt new technologies and workflows to ensure compliance with current and future regulations. The EU is already mandating the use of e-invoicing in business-to-government (B2G) transactions through Directive 2014/55/EU. The directive aims to streamline public procurement processes, reduce administrative loads, and improve transparency. Countries like Italy and Hungary already require e-invoicing for B2B transactions. Other member states like Germany are steadily advancing their frameworks for eventual legislation. 
• Digitalization: Digitalization is the process of converting analogue data into digital formats. Automation and AI tools are helping organizations digitalize and transform the way they handle external transactions, increasing the accuracy, speed, and real-time visibility of transactions.
• Sustainability: The environmental impact of delivering products and services accumulates along the value chain. For most European organizations, much of the environmental impact of their products occurs upstream in their supply chains. European organizations are now beginning to record ESG (environmental, social, and governance) data associated with their purchases. Invoices will start to feature financial and ESG data, with ESG metrics specific to individual products.

“New transaction ecosystems will make B2B transactions faster, more secure, and efficient while enhancing transparency and compliance.”

Tom Seal, Senior Research Manager, IDC

IDC’s Recommendations

The digital transformation journey, while indeed complex, unlocks a future of frictionless information sharing between businesses. The transition to business networks presents a prime opportunity for vendors.

The Future of B2B Transactions is Digital

• Organizations that share an increasing amount of data with their customers will require a new array of data from vendors to track sustainability performance.
• Much of the new data that will be shared among organizations will follow the existing transaction pathway. However, this pathway must be updated to meet new demands.

Transactions Will be Data-Rich

• e-Invoicing and other pressures will compel organizations to move beyond “paper thinking” during the 2020s.
• A new transaction ecosystem will evolve, enabling organizations to build a transaction workflow that meets the needs of their industries, operations, and legislative requirements.

Network-Enabled

• Future transactions will rarely be point to point. Rather, they will typically occur over a platform or network.
• The future will be a network of networks, rather than an array of competing networks.

What It Means for Vendors

1. Beyond complying with legislation, application vendors must develop strategies that help them thrive within the new transaction ecosystem.
2. Application vendors have an opportunity to win the race to be the conduit for new data flows, capitalizing on the growth opportunities they represent.
3. Every application vendor must think about their networks or network connectivity. Network access will be critical but equally commoditized. 

Conclusion

The new transaction ecosystem offers significant benefits, and organizations will increasingly rely on vendors to provide the necessary expertise and solutions to unlock these advantages. For tech vendors, the future of e-invoicing and B2B transactions is not just about compliance — it’s about leading digital transformation and setting new standards of efficiency and sustainability in the industry.

Watch out for Part 2 of our Blog Series on e-Invoicing in the coming weeks.

Ready to elevate your solutions and empower your teams? Contact us for a deeper dive on how IDC can help.

Most of the hype related to GenAI in the industrial environment centers around applications and use cases. I call this output-driven.

Users and internal sponsors find it easy to understand this approach because they can see the benefits and ROI of the solutions. There is a tool, clear CAPEX and OPEX, and an obvious result.

The approach is transparent and straightforward: Do you need an industrial co-pilot? You got it. Do you need a knowledge management tool? Here it is.

And it does not require a redesign of processes. You can simply create a new process or add the AI-powered app to a current process (e.g., as a recommender for a service desk operator).

But what about improving the entire process using GenAI, ML, and automation? In such a case, the journey itself can be regarded as the goal.

This, of course, requires process redesign — and your organization has likely undergone such an exercise several times over the last 10 years.

However, this time around, there is a technological leap provided by GenAI, which enriches a powerful tandem of AI and automation.

Take, for example, the production planning process in an engineer-to-order environment. Workflows include complicated order management, production planning, material management, logistics, and information flowing across stakeholders from different departments as well as sales and even customers. Software handles the situation by passing information smoothly among participants and by leveraging the data warehouse and real-time data from OT systems.

Using lean approaches and digital technology convergence, such transitions have delivered successful initial results including first-time-right outcomes, absolute transparency, and customer satisfaction.

Nevertheless, the software was, typically, heavily customized to fit the company’s needs, process owners, and other software.

The next step involves redesigning processes to apply robotic process automation (RPA) and enable the automation of repetitive and rule-based tasks to make them more efficient and fault-proof.

AI can now come into play.

Important: Do not consider a process optimized and efficient until it is super-optimized and super-efficient. All the people involved in the process, the data inputs and outputs, and the value obtained by the process’s customers, must be considered.

If process stakeholders need decision-making support, consider deploying AI chatbots and GenAI assistants to enable quick access to information and data analysis.

Collaboration is the new holy grail of time to value. Think about deploying AI-based collaboration tools to enhance communication and coordination among different departments involved in the process.

AI can optimize the allocation of resources (materials, labor, machines) in the planning process to maximize efficiency and minimize costs. Planners can benefit from AI-powered simulations of various “what-if” scenarios to understand the impact of different variables on production and customer delivery dates.

The entire process can be virtualized in a digital twin or an industrial metaverse. These will simulate different production scenarios to help find the best strategies without disrupting actual operations.

In addition, a trend to monitor closely is the emerging LLM agent technology, which serves as the “glue” between various process components. Dr. Michael May, Head of Technology Field Data Analytics & AI at Siemens Technology, advises that selecting appropriate use cases is crucial. This is due to the early stage of the agent approach (or any method integrating LLMs across a workflow), making it challenging to trace errors within a complex chain.

The Bottom Line

I believe organizations are too focused on single use cases and are missing the broader goal of becoming more efficient and resilient. They need to build AI-enabled processes that are still people-centric at some point and resilient.

Sparse data, data quality, trust issues, and transferring best practices across factories are some of the key challenges that must be faced. The good news is that there are solutions.

Sparse data can be addressed using synthetic data and reinforcement learning. Another crucial point is making AI accessible to non-experts. This can be achieved by using pre-trained models.

Ultimately, success requires close collaboration between process owners, hands-on users providing feedback, process optimization teams (focused on lean, efficient processes), technology experts (sharing their knowledge), and systems integrators (bringing the process to life).

The day is approaching when AI will design processes, automate tasks, and train both ML models and people. We’re not there yet, but it’s on the horizon!

If you’re a cloud provider that can offer high-caliber solutions for security and compliance, then cloud users in Europe need you. This is the most important factor organizations on the continent consider when selecting a cloud platform for migrating and modernizing applications, according to our research (IDC’s EMEA Cloud Survey 2023, August 2023, n = 1,610).

This is also borne out in IDC’s MarketScape: European Public Cloud IaaS 2024 Vendor Assessment report that has just been published. Following extensive research, this new study rates Europe’s top infrastructure-as-a-service (IaaS) providers, and those positioned in the uppers ranks were the ones that gained the highest points for a variety of criteria, including security.

What our report highlights is that when compared to other markets, Europe has very different requirements when it comes to choosing and using cloud solutions, with security and compliance emerging as the most coveted attributes that organizations seek when it comes to their cloud migrations.

When evaluating each IaaS provider as part of our MarketScape, the criteria that were given the greatest weight included their strategies and capabilities in security and compliance, as well as digital sovereignty. These are all interlinked, with the latter being the European cloud market’s most distinguishing characteristic.

Indeed, our research reveals reduced risks related to data security and regulations/digital sovereignty is one of the top business outcomes organizations in Europe expect from cloud use. Concerns over data privacy in Europe — especially in the EU — paved the way to the enactment of the General Data Protection Regulation (GDPR) in 2018, but as the continent’s regulatory and legislative landscape continues to develop and evolve, calls for greater data protection and robust cybersecurity have become louder. 

All of this is also allied to the EU’s efforts to address issues related to the market dominance of cloud players from outside the region and set more rigorous standards for online services with the goal of creating a more transparent and user-centric digital environment.

While we are seeing increased interest in digital sovereignty — which includes solutions for data sovereignty and sovereign cloud — in other parts of the world, Europe can be regarded as the frontline market here, and many cloud providers are finding they must include sovereign offerings in their portfolios to support customers in this region.

ESG is also high on the agenda for most cloud customers in Europe. While this is a concern for many organizations globally, when asked specifically about sustainability considerations, a combined 79% of the survey respondents in Europe (IDC’s EMEA Cloud Survey 2023) said they are either “moderately,” “very,” or “extremely” important when choosing a cloud solution.

As a result, an IaaS vendor’s ESG and sustainability plans and goals also played a significant role when determining their position in our MarketScape rankings. One observation that emerged here is that there is room for improvement for all providers when it comes to their ESG activities, especially in relation to transparency and their ability to prove the results of any initiatives.

What’s clear in all this is that not only do cloud providers need to cater to Europe’s specific needs, they also need to be able to support the needs of specific industry sectors. IaaS vendors were therefore also assessed on the availability of industry cloud services and the number of industries supported.

Despite cloud computing as we know it today having been around now for 18 years or so, many organizations in Europe are still at the beginning of their migration journeys. When asked to describe their current cloud maturity levels, only 10% of the organizations we polled in Europe (IDC’s EMEA Cloud Survey 2023) selected “optimized” as their response, meaning they have broadly implemented a substantial cloud team that is proactively managed and resourced well. Most users said they are “opportunistic” when it comes to cloud, meaning they are driven by business needs when requested by internal stakeholders, and that their employees have no significant training or certifications.

Of course, these maturity levels vary according to industry sector. For instance, those in the life sciences and telecommunications, media, and entertainment sectors chose “ad hoc” as their top response (i.e., their cloud usage is focused primarily on pilot projects and validation activities driven by the needs of individual projects), while those in the education sector selected “managed” (i.e., cloud is offered across the business and supported by proactive business leadership).

To add to all this, organizations will also be encountering challenges unique to their industry’s needs. These may include regulatory requirements, cost concerns, limited budgets, and/or a lack of skills and know-how around implementing cloud specific to their business activities.

To add to all this, organizations will also have challenges unique to their industry’s needs. Such challenges may include a lack of skills and know-how around implementing cloud specific to their business activities, regulatory requirements, cost concerns, and limited budgets, etc. 

The cloud providers that will ultimately succeed in Europe will therefore be the ones who not only score the highest in all the capabilities highlighted above but can also demonstrate the expertise needed to support the disparate needs of these industry users, as well as the disparate needs of Europe and each market within it. One size will not fit all.

To find out more, check out our latest report here: IDC MarketScape: European Public Cloud IaaS 2024 Vendor Assessment

Customer buying behavior is changing. Sales cycles are lengthening, and budgets are tight. Now, more than ever, you need to quickly and effectively generate leads to meet your business goals.

Events are one of the shortest and most effective lead generation paths. Here are five reasons events partnerships should be part of your lead generation strategy.

1. Events Raise Your Profile

Your brand is the single most important investment you can make in your business.

• Steve Forbes, editor-in-chief, Forbes

When your target audience is looking to purchase tech tools, you need to ensure your business is front of mind. Customers now source their own information before approaching a company to make purchasing decisions. Ensuring your business is part of the conversation around the markets you serve is crucial to making an ICT buyers shortlist.

Events are a good way to introduce and/or position your business to new and existing clients. An event is an opportunity to engage with key decision makers and influencers and demonstrate your expertise in the context of the market. Being part of an industry event gives you a chance to shine as a thought leader and display your authority to your target audience.

2. Thought Leadership Influences Buying

It’s not enough to just put out information on your products and services. Tech buyers have rising expectations about the quality of the information they receive. In IDC’s 2023 B2B Tech Survey, vendors ranked thought leadership as one of the top 3 buying influencers. Foundry’s 2023 Customer Engagement Survey found that 71% of IT decision makers may get a negative impression if a vendor does not supply valuable educational content.

Thought leadership is about demonstrating expertise in your market. You should educate prospective buyers not just on the benefits of your products and services but also about the market. This provides value to buyers and increases your authority in your markets.

Industry events enable you to be front and center with your target buyers. An event grants you space to demonstrate your thought leadership to an engaged audience. It allows you to follow up with audience members in person, giving them a chance to ask you questions.

Explore the key points to consider in the IDC eBook,

Empowering Lead Generation: The Quickest and Most Effective Path to Building a Strong Pipeline

3. Get in Front of Key IT Decision Makers

IDC’s B2B Tech Buyer Survey revealed that B2B tech buyers expect to buy more through ecommerce and deal less with salespeople over the next three years.

With fewer face-to-face engagements occurring, you need to take advantage of any opportunity to get directly in front of decision makers and influencers. Such exposure allows you to personally engage key personnel on the benefits your business can provide during a digital journey. This omni-channel approach gives you a chance to differentiate yourself from your competitors and build relationships.

4. Obtain Customer Insights

People attend events to network with peers and gain insights into the markets in which they operate. They want to understand the trends and drivers that are impacting them. They want to benchmark themselves against the market and competitors.

Directly engaging with decision makers at events offers you a window into their thinking and a view of the factors influencing their buying decisions. These insights and knowledge will help you further define the needs and goals of your target audience and help you position your business in alignment with their priorities.

5. Measurable ROI

ROI is a key metric for all your marketing and engagement strategies. It is often said that B2B marketing does not push for the immediate sell but is aimed at positioning your business at the top of mind for when the buyer is ready to purchase. As such, ROI can be a tricky topic for marketers.

Getting budget for activities that do not directly link to ROI can be a struggle. Event partnerships give you the ability to demonstrate measurable return. They enable you to link events to opportunities obtained through networking and meetings with event attendees.

More Important Than Ever: Events Partnerships

To summarize: Events offer you space to demonstrate your thought leadership directly to key decision makers. They provide you opportunities to network, learn market information, and raise your brand awareness by talking directly to customers and prospects. Such contacts can give you insight into customer needs and goals, enabling you to better align your business. And events allow you to show ROI through opportunities gained through these activities.

Explore how IDC | Foundry events can help you get in front of key IT decision makers and build a strong, effective lead generation pipeline that converts. Download the 2025 events portfolio and contact us today.

On June 6^th, 2024, we held an award dinner at a prestigious location in central Copenhagen and announced the CIO of the Year in Denmark.

The job of a Chief Information Officer (CIO) is often a challenging one. In some organizations, the job is mostly centered around helpdesk, running Microsoft Office packages, and being a steward of antiquated systems. Sarcastic observers even renamed the role as “Careers Is Over” to reflect the legacy aspect of the job. However, a CIO also has an expanded role as organizations transform digitally with a much wider potential influence and career upside. This was well illustrated when examining the five shortlisted CIOs.

In each of the organizations of the five shortlisted CIOs, we interviewed the CEO, the CFO, and the candidate CIO themself in separate, in-depth interviews and these interviews yielded multiple interesting lessons learned.

Lesson 1: The modern, high-impact CIO reports to the CEO and is part of the executive leadership team.

Gone are the days of IT being a cost center and reporting to the CFO. All five organizations were transforming traditional businesses into digital businesses and viewed the CIO as a key enabler of overall strategic change process. These modern CIOs facilitated change by setting up ‘digital boards’ to help prioritize digital initiatives across the entire business and to ensure buy-in from non-IT stakeholders.

We also saw many examples of the CIO enabling change through educational activities involving other executive leaders, to provide them with a better understanding of what technology can do for core business activities.

Lesson 2: The successful CIO often has a dual profile that balances technical IT foundation with business acumen.

The traditional CIO often had a technical background and aimed for traditional IT goals such as system availability and reliability, issue resolution time, total IT cost, etc. but were unable to effectively contribute to digitalization of business processes.

Newer, more business savvy, CIOs have since appeared with business backgrounds, but were often not able to properly understand and control major IT initiatives due to the lack of technical understanding. Many of today’s successful CIOs have a dual background with a strong technical foundation with a business overlay (e.g. shorter business degree) or vice versa.

Lesson 3: Successful CIOs balance pragmatism with boldness

The organizations we spoke to clearly aimed to purchase standard software where possible, cloud / Software-as-a-Service solutions where possible, and to adopt out-of-the-box processes where possible. We found no desire to reinvent the wheel. However, in many cases, the organizations took a bold approach where it made business sense.

They insourced systems and application development of differentiating nature, where many iterative changes were expected. Other critical areas, such as cyber security and data management, were also managed with strong in-house expertise.

Finally, new solution areas using emerging technologies, such as artificial intelligence and machine learning, were developed in-house and used actively to brand the organization as innovative.

Lesson 4: Instead of asking for money, new CIOs save their way to resources and credibility.

New CIOs are often met with high IT ambitions coupled with flat IT budgets at best – a difficult situation indeed. Instead of asking for new budgets, the new CIOs typically identified substantial IT savings and spent their first six to 12 months carving out savings, streamlining and consolidating contracts and employees. They then reinvested the resulting savings into new digital initiatives without having to ask the executive committee for an additional budget. In other words, they provided new services and capabilities within the existing IT budget and gained respect and reputation this way.

As more organizations use more and more technology the role of the CIO has expanded with it. CIOs have to combine both technical knowledge with business acumen to help drive their organization’s digital and IT ambitions.

IDC’s CIO of the Year 2024 Award, in Denmark

The five shortlisted organizations of the award represented diverse sectors, including insurance (TopDanmark), public sector (Danish Courts Agency), manufacturing (Finland-based consumer brand conglomerate Fiskars), membership organization (Danish Industry), and professional services (Ramboll).

Martin Wood, the CIO of Danish Courts Agency was awarded the title of CIO of the Year in Denmark. Martin heads up an IT function in a public sector agency and has managed to deliver a string of highly visible digital initiatives that are turning cumbersome legal processes digital, automated, and accessible. All projects were delivered via in-house resources (as opposed to the traditional public sector RFPs), within budget and within the allocated time. A worthy winner indeed.

If you want to know more about the CIO of the Year award, please visit the CIO event site (site in Danish).

We have an eBook which is designed to provide CIOs and digital business leaders with a comprehensive understanding of the critical shifts, strategic imperatives, and emerging opportunities that will shape the digital landscape over the next five years, download here.

Explore more of our coverage:

• IDC events
• CIO

Overcoming GenAI Pilotitis and Acute POC Syndrome

Welcome to the wild world of AI adoption, where companies are caught in a whirlwind of buzzwords, shiny new toys, and the constant fear of missing out. Today, we’re looking at a peculiar plague sweeping across Western Europe’s businesses: pilotitis and its close cousin, acute proof of concept (POC) syndrome.

Picture this: eager companies, bright-eyed and full of hope, diving headfirst into the AI pool. As a recent IDC survey showed, companies are running an average of 40 GenAI POCs annually. Forty! That’s a lot — and given their limited experience and expertise, it’s impressive. But is it really getting them anywhere?

Out of FOMO, these companies sometimes act like kids in a toy store, grabbing every shiny AI gadget they see. “Ooh, look at this LLM! Check out that ML algorithm!” But as any parent can tell you: Too many toys may make you miss out on the real fun.

AI Adoption Problems

The diagnosis? Experimentation is great. It’s how we learn and grow. But when you’re running more POCs than there are weeks in a year — and some companies really do, with 7% reaching up to 99 POCs annually — you might have a case of pilotitis. Symptoms include:

• An insatiable appetite for new AI projects
• An inability to follow through on successful pilots
• A severe allergy to scaling anything beyond the POC phase
• Chronic “shiny object” syndrome
• KPI amnesia, or forgetting to define or measure success metrics for AI initiatives

The Consequences of Unstoppable Pilots

The prognosis? Well, not great. Just one-third of companies report highly successful GenAI POCs. The rest achieve mediocre results, with nearly half achieving success rates of 50–70%. It’s like getting a C+ in school — not failing, but not exactly something that makes mom proud.

And there’s more: Some companies aren’t even evaluating their POCs’ success. It’s like they’re running around in circles, not knowing if they’re making progress or just getting dizzy.

So what’s the cure for the pilotitis epidemic? First, we need to identify the underlying causes:

1. The “AI is Hot and New” Factor: Companies are so smitten with the idea of AI that they forget to ask, “But does it actually solve our problems?”
2. Cost Confusion: AI projects can be expensive. Without clear ROI metrics, it’s easy to keep throwing money at pilots without seeing returns.
3. Skills Shortages: Finding the right talent to implement AI solutions is tough. Competences are in high demand, experts are scarce, and it may take forever to find someone you can afford.
4. Coordination Chaos: IT and business teams often struggle to work together effectively, leading to a disconnect between tech capabilities and business needs.
5. Fear of Commitment: Some companies are so afraid of making the wrong choice that they’d rather keep piloting forever than commit to a full-scale implementation.

How Tech Providers Can Help Their Customers

The treatment? AI technology providers and their partners have a unique opportunity to play doctor and help clients overcome pilotitis. After all, healthy clients support long-term business relationships. How can “tech doctors” cure their ailing patients?

1. Offer Scalable Proof-of-Value Approaches: Help clients quickly demonstrate value from GenAI in specific use cases, then provide a clear path to scale. It’s like a doctor helping to expand a toddler’s diet — we start with grated carrots and end up eating a full-course meal in a Michelin-starred restaurant.
2. Differentiate Between Experimentation and POC: Establish clear guidelines for each stage. It’s like the difference between medical research and clinical trials — in research, we’re exploring possibilities, but in trials, we’re testing specific hypotheses with measurable outcomes.
3. Outcome-Based Pricing: Link fees to project success. It’s like being a personal trainer and only getting paid if your clients actually lose weight — suddenly, everyone’s motivated to see results!
4. Introduce Integrated Cost Management Tools: Help clients track and control expenditures throughout the AI project life cycle. It’s like giving them a financial fitness tracker for their AI projects.
5. Provide Post-POC Support and Road Mapping: Offer comprehensive guidance for scaling successful POCs. It’s like offering post-op doctor’s recommendations.
6. Offer End-to-End Change Management Support: Go beyond tech implementation and help with the human side of AI adoption. It’s like being both a personal trainer and a therapist for your client’s AI journey.

These approaches will help you remember that pilotitis and POC syndrome are just growing pains. With the right approach and a little help from their “tech doctors,” companies can overcome these challenges and move from endless experimentation to meaningful AI implementation.

To all businesses out there drowning in pilots and POCs — it’s time to start turning those experiments into real-world solutions. And to tech providers: Your mission is to be the best AI doctors you can be. Help your clients understand and manage their symptoms — and watch them grow healthier and stronger.

In the realm of data platform decision-making, organizations typically consider several dimensions when making their choices. These encompass aspects including functionality, performance, scalability, cost, flexibility, and alignment with specific use cases.

The following are some of the key criteria of data platform decision-making. It’s worth noting that one of the most-hyped databases right now, in support of AI, is vector databases. We’ll explain why.

Data Model and Schema Flexibility

Organizations assess whether the database supports their data model requirements. Some may need the flexibility of schema-less or schema-on-read models. Others may require the rigidity of a relational model. The choice depends on factors like the structure of the data — is it simply rows and columns of numbers? is it a mix of images, videos, and documents? — and the need for agility to adapt to evolving schemas.

With the rise of Hadoop, many organizations began to store more of their data for analysis, now or in the future. Open source Hadoop offered data storage on commodity hardware, while more traditional proprietary data warehouses were almost certainly far more expensive. The trouble is that Hadoop lacked a schema — a structure for the data warehouse — making it harder to extract the data when you need it (though workarounds are now available).

As mentioned above, vector databases are garnering a lot of attention because of the rise of AI. Reasons for this include:

• Efficient Similarity Search or Nearest Neighbor Search: Vector databases are optimized for nearest neighbor search, a fundamental operation in many AI applications such as recommendation systems, image retrieval, and natural language processing.
• High-Dimensional Data Handling: AI models, especially in NLP and computer vision, generate high-dimensional embedding vectors. Vector databases can store and index these vectors efficiently, allowing for rapid querying and analysis.
• Semantic Search: By leveraging embedding vectors that capture semantic information, vector databases enable more intuitive and relevant search results compared to traditional keyword-based searches.
• Multimodal Search: Vector databases support the integration of various data types (text, images, audio) by converting them into a common vector space, allowing for unified search and analysis across different modalities.
• Clustering and Classification: Vector databases support operations like clustering and classification directly on the stored vectors, aiding in tasks such as customer segmentation, anomaly detection, and pattern recognition.

Vector databases are pivotal for AI because they provide the necessary infrastructure to store, manage, and query high-dimensional vectors efficiently. This capability is foundational for enabling fast, scalable, and intelligent AI systems across various applications and industries.

Performance and Scalability

Performance considerations include factors like query speed, throughput, latency, and concurrency. Scalability relates to the ability of the database to handle growing volumes of data and increasing user loads without sacrificing performance. Organizations evaluate whether the database can scale horizontally (adding more servers) or vertically (upgrading existing servers).

Consistency and Durability

Consistency refers to the degree to which data remains in a consistent state across distributed systems, especially in the event of failures or concurrent transactions. Durability relates to the ability of the database to ensure that committed transactions persist even in the face of system failures. Organizations weigh the trade-offs between consistency, availability, and partition tolerance based on their application requirements.ACID is key to relational, transactional databases. ACID compliance refers to a set of properties that ensure the reliability and integrity of transactions in a database system. The acronym ACID stands for Atomicity, Consistency, Isolation, and Durability, each representing a fundamental aspect of transaction management.

ACID is spoken of in somewhat hushed tones by NoSQL vendors. When pushed, some will say they offer “ACID-like” compliance. For many modern use cases, ACID-like is good enough. But speak to a database developer dealing with transactional systems — like core banking systems — and they will tell you their regulators and other stakeholders require “pure” ACID compliance. Compliance with ACID standards can help organizations meet regulatory requirements and maintain data governance.

Data Integrity and Security

Organizations prioritize databases that provide robust mechanisms for maintaining data integrity (e.g., through constraints, transactions, and validations) and enforcing security (e.g., encryption, authentication, authorization, and auditing). Compliance with regulatory requirements such as GDPR, HIPAA, or PCI-DSS may also influence database selection.

Ease of Development and Maintenance

This encompasses factors like developer productivity, ease of learning, availability of tools and libraries, and support for programming languages and frameworks. Organizations seek databases that streamline the development process, facilitate debugging and monitoring, and minimize operational overhead.

Total Cost of Ownership (TCO)

TCO considerations include both up-front costs (e.g., licensing fees, hardware costs) and ongoing expenses (e.g., maintenance, support, scaling). Organizations evaluate databases based on their ability to deliver value relative to their costs over the entire life cycle of the system.

Ecosystem and Integration

Organizations assess the database’s ecosystem, including its compatibility with existing infrastructure, integration with other systems (e.g., data warehouses, analytics platforms, the cloud), availability of third-party tools and services, and community support. Integration capabilities influence factors such as data migration, interoperability, and extensibility. There is also the issue here of deployment venue: on premises, in the cloud, hybrid, or multicloud.

By evaluating data platforms along these lines, organizations can make informed decisions that align with their business objectives, technical requirements, and constraints. Vector databases are certainly one of the hottest tickets in town in support of AI — but different use cases have different priorities.