A McKinsey report recently showcased the excitement and hurdles surrounding generative AI, or GenAI, adoption. While organizations are eager to get the most out of GenAI's potential across various departments, challenges in implementation are acting as a roadblock.
One key issue is identifying the most suitable applications for GenAI. Companies tend to struggle to pinpoint the specific use cases where GenAI can deliver a bigger impact. This could be due to a lack of understanding of the technology's capabilities or a failure to tailor it to address specific business problems.
Another hurdle lies in scaling successful GenAI solutions. Even if companies identify a valuable use case, translating a pilot project into a full-fledged, enterprise-wide solution is difficult. Challenges include integrating GenAI into existing workflows and making sure it can handle the increased workload of larger-scale operations.
There is also a lack of user-friendly tools for existing teams. Ideally, employees without specialized AI expertise should be able to experiment with pre-trained, foundational GenAI models. But, the absence of accessible tools hinders this experimentation and limits the potential for broader adoption within the organization.
“As enterprise adoption of GenAI picks up pace, organizations are looking to achieve faster time to value from AI initiatives,” said Vaibhav Bansal, Vice President, Everest Group. “They need platforms that offer an easy way to experiment with, build, deploy and scale AI agents and applications.”
Typical GenAI platforms offer features that include managing AI models with an orchestration layer, easy connection to existing data and a low-code interface for user-friendly development. Advanced platforms can offer access to pre-trained models, the ability to integrate custom models, data security measures and the capability to fine-tune models with a company's specific data.
“Enterprise-grade GenAI platforms that support such features promise an exciting future and have the potential to be the one-stop suite for all AI related needs of an enterprise,” said Bansal.
One such enterprise-grade GenAI platform, as Bansal just alluded to, is Kore.ai’s recently announced GALE — Generative AI and LLM Platform for Enterprises.
Kore.ai is a provider of advanced AI with a decade of experience in helping enterprises realize business value through the safe and responsible use of AI.The company provides the singular platform, no-code tools and solutions needed to build GenAI applications, deploy RAG/LLM-based search and optimize customer and employee experiences from automated to human-assisted.
Kore.ai is also a Platinum sponsor of Generative AI Expo 2025, which is taking place February 11-13, 2025, in Fort Lauderdale, Florida. Generative AI Expo discusses the evolution of GenAI and feature conversations focused on the potential for GenAI across industries and how the technology is already being used to create new opportunities for businesses to improve operations, enhance customer experiences and create new growth opportunities.
Back to GALE; this solution simplifies AI development for businesses. It offers a no-code interface and drag-and-drop functionality to build complex workflows and AI agents quickly, even without extensive coding experience. This reduces development time by up to 50% and allows rapid prototyping.
Additionally, GALE integrates with existing business systems and provides access to a library of AI models that can be customized for specific needs. This streamlines large-scale AI implementation and allows businesses to automate tasks and focus on strategic initiatives.
But what separates GALE is that it offers a unique, model-agnostic platform for businesses to deploy AI. Unlike other options, GALE gives companies flexibility in choosing their AI tools and infrastructure. Pre-built features and integrations jumpstart large-scale automation using GenAI. Businesses can transform any department by building AI agents for specific tasks or complex workflows.
And the GALE beta program has already seen success across various industries, including banking, healthcare, insurance and retail. Companies are using GALE for tasks like market research, knowledge management, content creation and process automation, which leads to improved efficiency and value.
“GALE addresses the fragmentation and limitations within the current ecosystem,” said Kore.ai founder and CEO Raj Koneru. “It's a cohesive platform integrating core AI app-building functionalities with built-in guardrails. None of the hyperscalers or other GenAI app providers offer customers an end-to-end capability to experiment with a range of LLM or SLM models to develop, deploy and manage sophisticated GenAI apps. GALE does.”
GALE offers businesses a fast way to build generative AI agents in a secure, scalable enterprise environment.
Kore.ai is a Platinum sponsor of Generative AI Expo 2025, taking place February 11-13, 2025, in Fort Lauderdale, Florida. Generative AI Expo discusses the evolution of GenAI and feature conversations focused on the potential for GenAI across industries and how the technology is already being used to create new opportunities for businesses to improve operations, enhance customer experiences, and create new growth opportunities. Kore.ai will be in Booth #2246 in the exhibit hall.
Edited by
Alex Passett
