AI Contact Center Transformation: How and Why Now?
The contact center industry today is almost unrecognizable from its early days nearly 40 years ago.
You need to figure out how to weave AI into your business model as a top agenda item. But how can you determine the right moves, cut through the hype, avoid falling for the wrong vendor marketing pitches, and get the full value out of your investments?
To truly unlock the value of AI, you need to go beyond looking at your existing business processes and consider how you can reimagine your business as an AI-augmented organization. Leading enterprises are already getting started.
ISG sees three AI transformation paths in the market today, each with their own strengths and pitfalls to avoid:
Many organizations have a few AI experiments that show promise, and now need to achieve implementation at scale without cost overruns and liabilities.
Top Challenges
Guidance
Some organizations have started AI projects in multiple departments but lack a central vision.
Top Challenges
Guidance
Some organizations are getting differing messages from multiple partners, their industry community and the market and need to determine where to focus first.
Top Challenges
Guidance
ISG provides readiness assessments, hands-on executive strategy development workshops, industry-specific research and proven processes for selecting the right use cases & requirements for your org.
With a strategy in hand, ISG helps you build a business case and source the right software & service providers to achieve ROI goals, fund future efforts and set you up for value realization and scaling success.
Our pure-digital operating model provides a powerful blueprint to reimagine your enterprise with AI and nurture innovation, helping you optimize business operations at every level.
To achieve the promise of your investments, ISG provides OCM, a strategy realization office, governance via our AI control plane, and risk mitigation with AI risk insurance.
Based on our research on and experience with the current state of the applied generative AI market, we’ve developed the optimal path for enterprise AI adoption. Talk to an ISG advisor for support on your specific AI needs, partner ecosystem and decision making.
Our vision for the recommended architectural layout strategically positions generative AI as an industry-agnostic selection of relationships, grouping components as conceptual building blocks. At its core, a cognitive infrastructure forms the base foundation on which everything else is built. With this strong foundation in place, we envision the AI control plane and data layer as robust pillars for support. These pillars should serve as guardrails for your strategy and AI operations.
Learn MoreThe market is rapidly moving to take advantage of AI capabilities. Some industries are moving quicker than others, with use cases and technology assets to support specific needs. ISG is providing a full, complimentary report assessing the AI market current state and trends to help you get started.
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Learn MoreThe recent launch of the AI Alliance, a coalition of more than 50 corporations and research institutions engaged in artificial intelligence (AI) development (including AMD, CERN, Cornell University, Dell Technologies, IBM, Intel, Linux Foundation, Meta, NASA, Oracle, ServiceNow and Sony Group), aims to achieve the following objectives:
Governance, risk management and compliance are essential tactics for a successful organization. Effective GRC practices help organizations achieve business objectives, mitigate risks and ensure compliance with laws and regulations. As a chief information officer or IT leader, it is important to evaluate new technologies and determine their impact on the business, including whether they fit within the scope of current GRC programs and processes.
Doing more by doing less means using artificial intelligence and related technologies to make financial planning and analysis organizations more productive. By eliminating low-value and unproductive work, AI enables FP&A teams to free up considerable time for more useful and consequential forecasting, planning, budgeting, analysis and reporting. AI isn’t some far-off capability.
Generative AI is a class of artificial intelligence used to generate new, seemingly real content. Broadly speaking, AI has traditionally been used to identify patterns in data and apply those patterns to categorize and predict behaviors. For instance, it can organize customers into groups (or clusters) with similar characteristics, or predict which customers are most likely to respond to certain offers.
Global enterprises fear a possible economic slowdown but are also curious about the possibilities of the latest generative AI technology. These fears and enthusiasms impact the approach to workplace technology investment decisions for large organizations and SMBs. The workplace technology landscape has multiple areas that impact the employee experience and the organization’s outlook. This report dives deep into two important areas: front-end technologies that are employee facing and are the entry point for digital workplace and back-end technologies that IT administrators leverage to ensure uninterrupted, secured and cost-effective management of IT estate that delivers the workplace to employees. Both areas focus on employee experience enhancement in two different aspects and have different sets of technologies that interest a large organization versus an SMB.
When we analyzed the future of the work and workplace technology services and solutions market in 2022, we remarked that enterprise workplace leaders are at the center stage of the transformation. 2023 has experienced two significant developments so far. First, there is a growing concern about a possible economic slowdown. Second, there have been substantial developments in artificial intelligence technology. These developments, combined with the trends we observed last year, namely growing acceptance of hybrid working and increasing focus on sustainability and a tech-savvy workforce, are largely influencing enterprise workplace technology buying decisions.
Global trends in conversational AI market include:
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