When the need for non-profit organizations to maximize impact, efficiency, and accountability is greater than ever, a modern Enterprise Resource Planning solution (ERP) can deliver an array of tangible benefits. Learn how next generation ERP can help improve efficiency, add value to projects, and improve budget forecasting.
Zoom out to the bigger picture, though, and you see that Facebook is just one channel. If you use Skype, Slack, Kik, and digital voice assistants, you’ll have to build six or eight of these endpoints straight away. And chatbots are being asked to handle ever more complex responses, so you better build on a platform of machine learning and natural language processing to keep up.
That’s why the question enterprise developers should be asking is not “Which chatbot service do I start with?” but “Which platform will let me crank out a chatbot today and also support multiple channels and integrate with back-end systems as these chatbots take off?”
There’s no denying that the world has been rocked on its side by some incredible technological
advances that have drastically altered how we live and work. Cellular phones have evolved
from bulky handsets in carry bags to sleek devices that do practically everything. In 2017,
46 percent of surveyed Americans said they use digital voice assistants such as Google
Home or Amazon Echo, with 56.3 million more smart speakers predicted to ship in 2018. In
manufacturing and business, we’re at a point of unprecedented automation. Machines have
taken over a vast number of tasks, including those once thought undoable by machine.
Key Findings ? Budgets for analytics tools and talent are going up, as marketing leaders see analytics as a business requirement and source of competitive advantage. ? Marketing analytics users rate functionality, performance, product roadmap and future vision as the primary factors they consider when evaluating vendors. ? Customers of these vendors also report putting a premium on user experience and ease of use among their requirements. ? Digital marketing analytics vendors are addressing these needs by adding more advanced features and investing in upgraded and flexible user interfaces, including intelligent assistants.
More and more employees are working remotely or traveling around the world to meet with colleagues, customers and partners. Jobs are no longer tied to a specific physical location, and people have come to rely on devices such as mobile phones, personal digital assistants (PDAs) and laptops to stay connected and productive.
Text is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices.
Increasingly, organizations want to know how all of that data can be used to drive improvements. For many, unstructured text represents a massive untapped data source with great potential for producing valuable insights that could result in significant business transformations or spur incredible social innovation.
This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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