Intro: AI-powered chatbots are becoming a common virtual assistant tool used by businesses in a variety of Industries. Chatbot use cases can be found across all industries and business functions including customer service, sales, marketing, and even internal process automation. The most common, however, is the use of an online customer service chatbot. Artificial Intelligence has profoundly influenced and altered business-to-customer communication. From streamlining the business process to improving customer engagement and increasing productivity, the conversational chatbot applications will demonstrate how to hold AI-enabled bots useful for business.

Data Analytics is the pursuit of extracting valuable data by using specialized computer systems. The global data analytics market size is anticipated to grow to USD 346.33 Billion by the year 2030 with a CAGR rate of 30.41% according to the Precedence Research report. Data analytics is used to discover and interpret patterns in data for the better optimization of business performance. Let's now deeply discuss the domain. Data analytics is a broad term that is used in the business market, it is important to use tools and methods of data analytics which help in better functioning of business performance.

Hyperautomation improves productivity, reduces expenses and generates operational efficiency to help organizations achieve excellence. Hyperautomation means utilizing automated technology to streamline and smoothen every possible process in a company. It allows for repetitive tasks to run without any human guidance or intervention. Hyperautomation is a combination of robotic process automation (RPA), artificial intelligence (AI), and machine learning (ML). Companies tend to get frustrated due to wavering automation processes implemented in their operation.

Or, as tech luminary Mike Olson suggested, "The breathless attention paid to AGI and self-driving cars and whatnot blinds [us] to the value of narrowly-focused AI applications." By "narrowly focused" he was referring to the DeepMind announcement that it had released the "predicted structures for nearly all catalogued proteins known to science". This advance dramatically opens access to protein structures, thereby accelerating scientific discovery in fields as diverse as medicine and climate change. As I've written, often the best machine learning (ML) is "just" pattern matching at a scale no human could hope to replicate. In fact, as good as machines are, and as smart as people can be, the mapping of all known proteins simply couldn't have been possible without data, as Ewan Birney, deputy director general of EMBL, stipulated.

It was back in the 1950s when a group of experts from different arenas came together to discuss the possibility of developing an artificial brain. Then again in the mid 1950s, John McCarthy coined the term "Artificial Intelligence" during a summer conference at the Dartmouth college. Since then, with every passing decade, there were innovations and observations in the field of AI that assured the future of AI to be promising and evolved. It was in the 1900s when many computer scientists around the world dwelled into research based findings in AI and this technology took its first big step towards advancement. What was once just a mere theory, now became the crux around technology and innovation.

They call it Jenny; a robotic solution with Artificial Intelligence, AI capabilities. Jenny has come to alter the status quo, disrupting the traditional method of multi-level marketing. With its AI capabilities, Jenny eliminates the degrading methods of public sharing of printed literature and the beggarly system of selling supplements and other health-based products in the market, at bus stops and on the streets. Built by Strategic Business Techspace for Wealth Solution Dynasty, WSD, Jenny has given a new impetus to multi-level marketing and handed WSD the bragging right as the first tech-based MLM outfit. The chatbox AI solution is innovative and multitasks as a marketer and customer relations interface between WSD and its public. It is sitting on the company's social media handles- WhatsApp, Facebook, Instagram, Twitter and even on its website.

Technology research and consulting firm Gartner, Inc. identified Decision Intelligence as a top strategic trend for 2022. Analyst Dr. Pieter J. den Hamer begins his detailed report with this call to action: "To deal with unprecedented levels of business complexity and uncertainty, organizations must make accurate and highly contextualized decisions more quickly. IT leaders must create capabilities to rapidly compose and recompose transparent decision flows." Few would argue with the idea that businesses have an ever greater need to make better, faster decisions. However, the report has an underlying insight that portends the fundamental disruption of this most important leadership activity.

Most businesses don't understand the idea of AI technology. Artificial intelligence is evolving, changing what ordinary people can do every day. From small businesses to large Fortune 500 companies, AI is not simply a fancy lab experiment anymore. AI is here, making the playing field fairer for SMBs. Artificial intelligence tech has the power to replace dozens of human resources and replicate what used to be legions of people doing the same time.

Fueled by a great increase in online shopping, e-commerce platforms have been utilizing AI to improve the customer experience and optimize their business performance. AI has the power to customize websites for individual users, power chatbots which can understand and respond to complex questions, and get a detailed understanding of business performance. Fueled by platforms like Amazon, which have simplified online shopping and the Covid-19 pandemic, e-commerce has seen a significant rise in the last year with no sign of slowing down. According to the United Nations Conference on Trade and Development, e-commerce increased from 14% of global retail trade in 2019 to 17% in 2020. In a pre-pandemic world, retailers were already utilizing machine learning (ML) tools such as targeted advertisements on mobile devices and experimenting with different ways to incorporate artificial intelligence (AI) into their systems.

Palantir could kick off the adoption of AI and Blockchain across industry, by enabling organizations to create digital twins that these technologies can be deployed on, completely changing the way companies function. I have been eyeing Palantir recently. As with other tech companies, I find that the time that I spend working with different technologies has helped me understand what Palantir is all about very quickly. You see, we hear the tech buzzwords "AI" and "blockchain" a lot, but there are a lot of questions about how these technologies are going to drive the GDP needle. In the remainder of this post, I am going to breakdown how I believe Palantir could very well kick start the generalized adoption of AI and blockchain technologies across industry, resulting in better overall business performance for its customers and ultimately, in a solid business for itself.