Skip to main content

Zoho One Jumps on AI and Analytics Train with New Upgrades


The company has announced a range of updates to Zoho One, its all-in-one cloud app suite including new analytics tools and access to its Zia AI assistant.

India-based Zoho has rolled out several updates to Zoho One, the all-in-one cloud app suite it calls “the operating system for business”. The updates include new analytics tools and access to the Zia AI assistant. They are just the latest in a slew of new features added to the suite since it launched a year ago. The first was team chat tool Cliq, then Zoho Flow, an automated workflow automation platform. The latest updates also feature their PageSense website testing tool and Sprints project management app. ZoHo one will now feature integration with Zia AI assistant. It was originally part of the company’s CRM tool and offered suggestions based on customer data. Now it will be used across all Zoho One apps and offer suggestions and contextual information from a wide range of sources. As an example, the company said it could pull data from Zoho CRM and Zoho Desk to generate insights that will let users know how many open support tickets are waiting for resolution.

 The new analytics tool offers customized dashboards and report creation and allows users to integrate data from third-party apps in addition to the data generated by all of Zoho’s business apps.
“The stats clearly show that customers will use multiple apps from a single suite, if those apps work together more deeply than a patchwork of products from different vendors,” Raju Vegesna, chief evangelist at Zoho, said in a statement to Computerworld. “We see customers combining data from different Zoho and third-party apps – like email campaigns, CRM, customer support and accounting – to generate new insights and make better decisions.” Zoho One launched in July 2017 and includes over 40 of Zoho’s business apps including CRM, HR, productivity, BI and more.
Labels:

Comments

Post a Comment

Popular posts from this blog

Everything you should know about the coronavirus: COVID-19

  What are coronaviruses? SARS-CoV-2 belongs to a family of single-stranded RNA viruses known as coronaviridae, a common type of virus which affects mammals, birds and reptiles. In humans, it commonly causes mild infections, similar to the common cold, and accounts for 10–30% of upper respiratory tract infections in adults. More serious infections are rare, although coronaviruses can cause enteric and neurological disease. The incubation period of a coronavirus varies but is generally up to two weeks. Previous coronavirus outbreaks include  Middle East respiratory syndrome (MERS ), first reported in Saudi Arabia in September 2012, and severe acute respiratory syndrome (SARS), identified in southern China in 2003. MERS infected around 2,500 people and led to more than 850 deaths while SARS infected more than 8,000 people and resulted in nearly 800 deaths. The case fatality rates for these conditions were 35% and 10%, respectively. SARS-CoV-2 is a new strain of co...
Post a Comment
Read more

The First Step Towards Responsible AI Needs To Be About People Not Strategy!

Article By Charles Radclyffe:  I was recently consulting for an organisation that was looking to implement a framework to govern the implementation of Artificial Intelligence (AI)  technologies. Like many organisations in their sector, they had been running various ‘lab’ experiments for some time, and had seen positive results; but there was still something holding them back from wholesale investment. A major consulting firm had encouraged them to ‘accelerate’ their innovation by using a framework to govern the roll-out. I asked them where they felt it needed more focus, and they responded saying that it felt somewhat vanilla, a re-hashing of any-old IT project management best practice. “Surely there is something different about AI”, they asked? I couldn’t agree more. There is no magic to AI. Today’s AI is a collection of methodologies that apply extreme reductionism to Big Data in order to elicit patterns, calculate probabilities or make predictions. Wha...
Post a Comment
Read more

AI Can Recognize Images. But Can It Understand This Headline?

In 2012, artificial intelligence researchers revealed a big improvement in computers’ ability to recognize images by feeding a neural network millions of labeled images from a database called ImageNet. It ushered in an exciting phase for computer vision, as it became clear that a model trained using ImageNet could help tackle all sorts of image-recognition problems. Six years later, that’s helped pave the way for self-driving cars to navigate city streets and Facebook to automatically tag people in your photos. In other arenas of AI research, like understanding language, similar models have proved elusive. But recent research from fast.ai , OpenAI , and the Allen Institute for AI suggests a potential breakthrough, with more robust language models that can help researchers tackle a range of unsolved problems. Sebastian Ruder, a researcher behind one of the new models, calls it his field’s “ImageNet moment.” The improvements can be dramatic. The most widely tested mode...
Post a Comment
Read more