AI and Automation have unleashed cognitive transformations for intelligent enterprises that focus on a digital-centric future. Delivering value at scale, the AI and Automation teams at Aikyne helps set up an enterprise-wide ecosystem driven by end-to-end digitalization. We provide intelligent automation advisory, implementation, and support services to automate repetitive business processes in diverse areas, including finance, invoicing, marketing, and claims processing across industries. Our automation services integrate AI capabilities to optimize solutions and help drive operational excellence and ROI maximization.
Let me start by saying, I’m not a writer, which will become clear very quickly …. but I do understand people and their fears. Right, if you are still with me, then thank you for your unfound confidence in my knowledge of the subject, which from a technical standpoint is minimal. I want to write something that was from a non-technical person, who has cobbled together their knowledge from articles laden with acronyms, short conversations with the vaunted technical SME’s and the myriad of scaremongering articles out there in the e-world.
Businesses are overwhelmed by new technologies and innovative products every other day. It’s an era of innovation & disruption, or maybe we should call it innovation & evolution, for a more appropriate choice of word, (E always follows D in the order :). The quest for innovations has always been in the pursuit of becoming more efficient, resulting in the investments in R&D, gaining a bigger cut in the budgets. Traditionally the primary goal of most innovations has been around achieving Efficiency – be it in process or the product.
GCC countries, or Gulf Cooperation Council countries, are now entering a new era of digital transformation, evolving inside-out due to increasing consumer-driven push, and the adoption of digital tools that are enabling enterprises to meet those consumer demands. Moreover, with the median age in GCC countries being only 27[1], young consumers bring to the table a more integrated approach towards adoption and the use of technology.
RL (Reinforcement learning) has proven its worth in a slew of AI-led (artificial intelligence) domains and is also starting to show successes in real-world cases. Deepmind developed AlphaGo for it to be able to beat the most challenging board game in the world – Go, which it did. In the real world, RL is playing a significant role in driving insightful decision-making across various industries such as optimizing manufacturing, solving supply-chain inventory problems, making healthcare safer, helping a car learn to drive by itself, etc. among many others.
