Preparing for Gen AI: What Your Roadmap Needs

6 min read

From cybersecurity to accountability and regulation — the hurdles to Gen AI are substantial. Here's how you can overcome them

The Generative AI (Gen AI) revolution could add a staggering $15 trillion to the economy by 2030. Are you ready to leverage this powerful technology? Being fully prepared is key. It's not about keeping pace — it's about leaping ahead in a digital transformation that will define industries for decades to come.

In “Marketplace Webinar: AI and Cybersecurity Consideration for the Tech Leader” hosted by the London Stock Exchange Group (LSEG), I chatted with several experts about the transformative impact of Gen AI across sectors. We identified a range of common cross-industry challenges in implementing Gen AI, including:

Regulatory considerations

Cybersecurity concerns

A lack of critical expertise

Platform and frameworks

My key takeaway from this discussion: Adaptability and innovation will be core strategies for leveraging Gen AI. Those strategies require, in turn, a strong data foundation and a Gen AI roadmap to succeed.

Companies that integrate AI-driven tools effectively can enhance productivity, streamline operations, and foster new growth opportunities. Read on to learn how you can secure your place among their ranks.

Understanding Gen AI hurdles

Despite its enormous potential, many enterprises are still groping in the dark without a clear roadmap for implementing Gen AI. No company is exempt from the challenges posed by integrating Gen AI. Yet companies unable to overcome them risk being left behind, or even consumed by rivals in a coming wave of consolidation. Three areas are most critical:

Data governance: Few enterprises have robust data governance protocols. Ensuring data integrity and results accuracy is not just a technical challenge but a business-critical concern.
Accountability and cybersecurity: Gen AI introduces significant cybersecurity and regulatory challenges, including third-party tampering, biases, and accountability issues.
Talent and technology gaps: Leading tech companies have an edge in terms of talent and resources. However, most businesses lack enough skilled professionals who can harness Gen AI’s full potential.

Enterprises must be committed to addressing these challenges head-on with innovative solutions. The key will be to develop a roadmap for Gen AI integration.

Roadmap to Gen AI: people, platforms, and technology

With a clear path centering on well-defined milestones across the organization, companies can successfully integrate Gen AI into existing operations and even develop new business models. There are three key areas to consider for a robust Gen AI roadmap.

Integrated Ecosystems:

Unified data platforms: Merge data from diverse sources into a single system to streamline operations.

Data quality management: Detect and rectify data quality issues for accurate results.

Regulatory compliance: Ensure that data management practices comply with regulations, such as GDPR and CCPA.

Scalable Infrastructure:

Cloud-based solutions: Leverage cloud technology for cost-effective scalability.

Edge computing: Employ edge computing to enhance real-time analytics, reducing latency.

Interoperability: Ensure seamless data flow between legacy and modern systems.

Strategic Partnerships:

Collaborative ecosystems: Forge alliances with tech providers and data vendors.

Innovation through collaboration: Partner with startups and research institutions to drive innovation.

A strong data foundation, reliable infrastructure, and fruitful collaborations are essential components of a cohesive roadmap for Gen AI. With a comprehensive approach, businesses can foster innovation, enhance efficiency, and secure a competitive edge. That is the key to leading a successful Gen AI transformation.

Leading the pack with a strong Gen AI strategy

Generative AI promises to rapidly accelerate decision-making and provide real-time access to vast datasets previously underexploited — turning data into actionable insights instantaneously. Preparing your company for this leap will determine your competitiveness in the coming years.

Do you know how to overcome the hurdles to Gen AI integration across your organization? Discover how your company matches up with a 2024 commissioned global study conducted by Forrester Consulting on behalf of SoftServe. Parse the answers from 750 decision-makers across industries about their top challenges — and how they are overcoming them.

And if you are interested in building your own Gen AI roadmap, let’s talk.

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