BetterUp, the human transformation company,announced it has launched BetterUp Sales Performance on Salesforce AppExchange, empowering customers to reach peak performance through dedicated professional sales coaching and measure the impact coaching is having on business outcomes including quota attainment, deal velocity, time to productivity, and more. "BetterUp's Sales Performance is a welcome addition to AppExchange as it powers transformation for customers by unlocking team performance across sales organizations" Integrated directly with Salesforce, BetterUp's Sales Performance is currently available on AppExchange. Additionally, BetterUp and Salesforce customers will soon have access to a dashboard embedded into Salesforce that measures revenue-related metrics driven by coaches and non-coached sales representatives. "Salesforce is one of the first adopters of the Human Transformation Platform and remains committed to the importance of mental fitness, inclusion and connection," said Alexi Robichaux, CEO and co-founder of BetterUp. "With our expanded partnership, sales managers and sellers using Sales Cloud will now have support to strategize on deals, prep for prospect calls, and develop the right mindsets around resilience, focus, and agility. We're thrilled to bring this solution to Salesforce customers to help them achieve and exceed sales performance."

More than thirty years ago, Fred Davis developed the Technology Acceptance Model (TAM) as part of his dissertation at MIT. It's one of the most widely cited papers in the field of technology acceptance (a.k.a. Since 1989, it's spawned an entire field of research that extends and adds to it. What does TAM convey and how might today's AI benefit from it? TAM is an intuitive framework.

AI for sales is nothing new. But what are the real benefits of AI? Is it a lot of buzz or does it deliver real value? Sales tools using machine learning and deep learning are already widespread in the market today. And while the scope of AI's impact may still be limited to certain types of activities, the power and scope of AI will continue to grow.

For the past few years, when the sales industry discusses sales technology trends, artificial intelligence (AI) rises to the top, although it has yet to take a foothold in the industry. These concerns may explain why the industry has shown so much reluctance to embrace AI. The 2nd Annual Sales Operations and Technology Study from Miller Heiman Group found that just more than 5% of sales organizations deploy AI in their sales technology stack, and the majority--66.2% of sales organizations--have not used the technology at all. But fear not: AI offers quite powerful opportunities for those sales organizations ready to invest in it. Read on to understand the top scenarios where AI can make a significant impact on sales success. To start, many sales organizations struggle to define and understand AI.

Artificial intelligence is arguably the most disruptive technology to emerge over the last few decades. Consumers are producing data at record levels. It's estimated we'll produce 463 exabytes per day by 2025. Yet humans aren't equipped to process that complex information. We're starting to rely more on AI to interpret massive amounts of consumer and third-party data in real time, and to make it relevant for our uses.

This is a preview of the on-demand webinar, AI for Modern Sales Teams. Artificial intelligence (AI) is helping modern sales teams better understand customer needs and sell more effectively. Read on to learn more from Minkara and Oracle Senior Product Manager Kayleigh Halko about how winning brands are using artificial intelligence solutions to drive higher sales performance. To understand how AI tools help sales organizations reach their goals, it's important to understand their most pressing concerns. In the webinar, Minkara shares results from a 2019 survey that Aberdeen conducted asking 369 professionals for the biggest strategic issues they faced.

Artificial intelligence (AI) is fundamentally evolving the way business is done and could contribute up to $15.7 trillion to the global economy by 2030, projects PwC. In response to the disruptive and transformative potential of AI, business leaders are moving to capitalize on the productivity gains and economic impact. Across industries and business sectors -- including sales -- companies are investing in AI technology to increase operational efficiency and effectiveness, improve the quality of products and services, and to stay innovative and competitive in a crowded market. In fact, Gartner predicts 30% of all B2B companies will use AI to augment at least one of their primary sales processes by 2020. The fear that machines could replace human labor is not a new concept, but heightened'automation anxiety' has become more acute in the past few years with the eruption of AI and machine learning technology.

While 2018 saw the artificial intelligence sales revolution beginning to gain momentum, the applications were limited. In 2018, the percentage increased by a mere 2% to 53% adoption. This year, artificial intelligence will increasingly play a vital role in sales organizations. One of the most profound implications will be in the context of CRMs. CRMs have long struggled to gain the favor of sales professionals.

Today's business environment is becoming increasingly competitive. As a result, sales organizations need deeper insights and access to data to stay ahead of the competition. One way sales teams are getting a competitive advantage is through artificial intelligence and machine learning (AI/ML). However, while many companies are looking into and adopting AI/ML technologies, success relies on more than just the algorithms within the tools. Organizations need the right data in order for AI/ML to "learn" to be truly effective.

Integrated with Salesforce, Xactly's Sales Performance Artificial Intelligence (AI) platform applies machine learning algorithms to over 13 years of pay and performance data to analyze and predict the risk of future employee attrition. Leveraging a model of over 50 unique data elements, organizations can proactively address and prevent undesired sales attrition, reducing a significant business cost and safeguarding performance. Customers now have the ability to leverage the power of Salesforce Einstein and Xactly Insights together, allowing sales leaders to become smarter and more predictive. With the ability to predict leading sales indicators using both customer as well as their own reps' pay and performance data, sales leaders can: prioritize opportunities, prevent their top reps from leaving the organization and make real-time decisions to optimize overall sales performance. "Xactly has harnessed the power of big data to provide organizations with a predictive, real-world AI application that they can easily implement and use today to ensure the productivity and health of their sales force," said Christopher W. Cabrera, founder and CEO of Xactly.