In Focus: B2B Decision-Makers’ Rising Interest in AI and ML

Apurva Pathak | June 15, 2022 | 402 views | Read Time : 03:00 min

Rising Interest in AI and ML
Recently, Contentgine, a content-based marketing agency, released its latest ‘Top 5’ research ranking for popular artificial intelligence (AI) related content consumed by B2B decision-makers. The content assets, mostly e-books, that made it to the list focus on predictive analytics, cloud-based machine learning (ML) technologies, deep data analytics, and more.

But why are B2B decision-makers so curious about AI and ML?
They want to use AI and ML-based solutions effectively to streamline their business processes and improve their marketing strategies. 

Digital transformation, heightened consumer expectations, and changing buyer dynamics govern the way B2B decision-makers utilize their resources. Let us look at what is making them seek AI and ML-related content on such a high scale:

AI Simplifies Decision-Making

A survey conducted by SurveyMonkey concluded that 6 out of 10 B2B decision-makers experience decision paralysis—difficulty in choosing an option from a few viable ones—more often than expected. Furthermore, reaching a consensus becomes cumbersome if too many stakeholders are involved in the decision-making process. In such sticky situations, AI algorithms come to the rescue. They leverage heterogeneous data from social media, reports, website activity and more, to offer insights on management and resource allocation, assist in troubleshooting problems and aid strategic development. They alleviate issues that insufficient data and a lack of proper tools to measure metrics pose. They present a clear picture in front of the decision-makers to enable them to make an informed decision.

Assists in Lead Generation

Forget archaic, standard prospecting tools. You can effortlessly conduct lead generation research using various complex parameters with AI-powered tools. You can also analyze customer behavior, create dynamic, intuitive, secure and valuable lead lists. Sifting through massive lead generation data to discover the client profiles that match your ICP gets easier. On the other hand, ML helps with demand prediction, churn prediction, local optimization, and sentiment analysis, so you can offer an excellent customer experience to your leads.  AI lead generation tools such as Conversica, Drift, and LeadCrunch can have conversations with your leads, collect their email addresses, and qualify them even before handing them off to the sales teams. AI-powered lead scoring can help you identify intent signals that your marketing teams might have missed.

Optimizes Content Strategy

Let’s face it. You don’t want to sell Eskimo ice. Irrelevant content sabotages your chances of creating a lasting relationship with your prospects. Your content should align with your customer’s needs and pain points. Thanks to machine learning, deep content personalization is possible. ML can analyze content assets on your website and send the relevant ones to a prospect at the right time based on their position in the buyer’s journey.

AI and ML Are Changing the Game for B2B Businesses

According to an O’Reilly survey commissioned by MemSQL, 71% of executives said that ML and AI are game-changers for their business. B2B decision-makers are investing their resources in exploring the advantages of AI and ML in-depth. They are keen to implement AI systems and ML-based solutions to eliminate human errors, continuously analyze vast amounts of raw data, and harness structured solutions to problems they face in executing their business processes.

VMWare Uses Acrolinx to Streamline Content Program

AI-enabled content solution Acrolinx offered VMWare real-time dashboards on the results of its content activity. The qualitative report helped VMWare focus its resources on making its content better so that it could get more conversions.

Closing Thoughts

“AI will increasingly determine which firms win and which firms lose.” - Phil Clement, former CMO of Aon.

“AI will increasingly determine which firms win and which firms lose.” - Phil Clement, former CMO of Aon. AI and ML can significantly impact business operations and marketing campaigns in the B2B domain. To have a competitive edge in the market, understanding their importance and figuring out where and how to use their power will no longer be a choice but a necessity.

Spotlight

RB Advertising

The mission at RB Advertising is to make the elements of online advertising easier to understand for those who need help with the processes behind the technology. We specialize in driving traffic to our clients' sites, and converting their visitors into paying customers. For those visitors who do not immediately convert, we will continue to remarket to them in Facebook and the Google Display Network until they do. It is really that simple.

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Sequoia-backed state-of-the-art generative AI engine, Gan, unveiled their new Chief Revenue Officer, Anupreet Singh, in didactic fashion — by having their AI generate him on a LinkedIn livestream. Anupreet, who previously headed GTM at Slintel (a 6sense company), will now ply his trade building Gan's global revenue efforts across all channels. This comes at a crucial time when Gan will go full steam ahead with their plans to build the generative AI video personalization layer of the World Wide Web — a quantum leap for the visual cortex of the internet. When asked about the decision, Anupreet beamed, "When I first met Suvrat Bhooshan, I saw an AI prodigy desperate to create something significant in the field of generative AI." When asked about the decision, Anupreet beamed, "When I first met Suvrat Bhooshan, I saw an AI prodigy desperate to create something significant in the field of generative AI. But little did I know that Gan’s entire technical team was as sophisticated as it gets. I couldn’t believe the difference in quality between Myna by Gan and its closest competitors. This means we're almost single-handedly building the generative video personalization space." Myna by Gan has powered some of this year’s most innovative marketing campaigns of brands including Zomato, Swiggy, and Samsung, which saw them feature as one of only 200 technologies at TechCrunch Disrupt 2022. Anupreet added, "Video personalization started with Google’s text-to-speech in 2018, and followed by AR digital avatars of humans. With Myna, we’re unlocking a whole new level through hyper-personalised video-based marketing campaigns. With our product, human recordings come alive to speak personalised words based on who’s watching! For users to hear their name, city, most ordered item, etc. from your brand ambassador is as real as it gets. When I first experienced the product, I knew I wanted to make this superpower available to every marketer and salesperson.” Till date, Myna by Gan has generated over 55,000 hours of AI personalised content in 8 languages; watched by over 500 million viewers worldwide. Gan Founder and CEO, Suvrat Bhooshan, also chimed, "With our product adoption growing at a meteoric pace, it was a no-brainer for us to bring in Anupreet, who has led multiple tech start-ups to astronomical growth. We're going all-in with our go-to-market efforts, and we have huge plans for the future."

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