Customer Relationship Management or CRM is the most wanted software which can help your business generate revenue and automatically maintain customer relations at the same. Developed by some experienced Software developers in Kolkata, this software comes integrated with multiple features and fully functional tools. For providing futuristic benefits, today, organizations are on the lookout for a CRM that comes integrated with AI (artificial intelligence) capabilities. AI-powered CRM – What is so intriguing about this combination? Best depicted by the software developers of a Top CRM development company, a CRM that is AI-enabled can bring a huge change in your business process management.

As many organizations move to build their automation capabilities, recent survey results suggest that certain best practices will differentiate successful efforts from others. Organizations in every region and industry are automating at least some business processes, yet only a slight majority have succeeded at meeting their targets, according to a new McKinsey Global Survey on the topic.1 1.The online survey was in the field from January 16 to January 26, 2018, and garnered responses from 1,303 participants representing a full range of regions, industries, company sizes, functional specialties, and tenures. Of these respondents, 764 work at organizations that have piloted the automation of, or that have fully automated, business processes in at least one function or business unit. To adjust for differences in response rates, the data are weighted by the contribution of each respondent's nation to global GDP. As advances in artificial intelligence, software robotics, machine learning, and innovative technology platforms enable businesses to redefine processes, workplace automation is expected to provide a significant opportunity for improvements in performance and efficiency.2

Recently IT Brief had the opportunity to get in touch with Adrian Jones, Automation Anywhere APJ EVP, to discuss AI and its impact on the modern workforce. Can you tell me a bit more about Automation Anywhere? Automation Anywhere is a global leader in Robotic Process Automation (RPA) software and AI technology for enterprises looking to deploy intelligent digital workforces. Our technology uses software bots that work alongside the human workforce to take on repetitive, mundane work, allowing people to do more meaningful work. Beyond automating tasks, Automation Anywhere's platform also helps improve them on the back-end by enhancing efficiency, minimising error and reducing operational costs, while helping enterprises manage and scale business processes faster.

Prior to founding CognitiveScale, Matt was the leader of Watson Labs for IBM, and as such he is well versed on cognitive computing and the superconvergence of cloud computing, big data, and artificial intelligence, and how these technologies are disrupting every business process and industry. Q: What are the keys to a successful AI strategy? A: It's a more complex lifecycle than clients may think. We begin by mapping how the AI lifecycle looks and how it fits within the SDLC. We discuss what kind of problems you can solve and how to understand the complexity of the problems we are solving.

Artificial intelligence is gaining traction in enterprises, with many large organizations exploring algorithms to automate business processes or building bots to field customer inquiries. But while some CIOs see self-learning software as a boon for achieving greater efficiencies, others are leery about entrusting too much of their operations to AI because it remains difficult to ascertain how the algorithms arrive at their conclusions. CIOs in regulated industries in particular, such as financial services and any sector exploring autonomous vehicles, are grappling with this so-called "black box problem." If a self-driving rig suddenly swerves off of the road during testing, the engineers had darn well better figure out how and why. Similarly, Finservs looking to use it to vet clients for credit risks need to proceed with caution to avoid introducing biases into their qualification scoring.