From September 19-20, customers, partners, technologists, and business leaders interested in and intrigued by intelligent automation will gather in Austin, Texas, for Automation Anywhere Imagine. We’re sitting down with company and partner execs to find out more about the transformative power of intelligent automation and what to expect at the conference.
For this interview, we spoke with Jagjit Dhaliwal, global strategic partnerships leader, intelligent automation at AWS, about benefits to customers in the AWS-Automation Anywhere partnership and what customers’ top priorities and concerns are in terms of implementing generative AI.
Highlights
01:16 — Referencing the recently expanded partnership between AWS and Automation Anywhere to bring the power of generative AI to mission-critical enterprise processes, Jagjit notes the two companies’ journey together started when Automation Anywhere built its cloud-native platform on AWS for a scalable, secure environment for customers.
02:05 — In addition to the value of hosting Automation Anywhere on AWS, the “real value” is coming from integrations being developed between the Automation Anywhere platform and AWS services. Automation Anywhere customers can leverage services including Amazon SageMaker and Amazon Connect within their automation workflows.
02:46 — Amazon/AWS is pioneering artificial intelligence (AI) and machine learning (ML) services through many years of work in these areas, and its strengths are complementary to the Automation Anywhere platform.
03:14 — A couple other benefits to customers: the Automation Anywhere platform is listed in the AWS marketplace; that helps customers with the procurement process, reducing their contractual burdens. The partnership helps customers draw down their AWS commit.
03:53 — Through the latest partnership, Automation Anywhere has early access to, and has been developing integration with, AWS Bedrock.
04:30 — AWS aims to democratize AI and ML and is applying the same democratization principle since it launched generative AI services. Customers can apply this to their processes across lines of business including engineering, marketing, customer service, sales, and more.
05:14 — Drilling into customer experience — a key area for automation via chatbots, virtual assistant, intelligent contact centers, and more — Jagjit notes that these use cases are coming to the forefront because of generative AI services.
06:22 — Addressing opportunities and hurdles with generative AI and automations, Jagjit says three questions and key points emerge regularly in customer conversations:
- customers are unsure where to start so they’re wondering if there’s a straightforward way to find and access the high-performing foundation models best suited for their use cases
- customers want generative AI to integrate seamlessly into their applications and ecosystem without managing lots of infrastructure and incurring new costs
- customers need to secure their data and ensure privacy when they’re fine-tuning large language models
