Collaboration Conversations with Christina Cala and Manish Bhardia

Written by Manish Bhardia



June 3, 2020

Collaboration Conversations with Christina Cala and Manish Bhardia

In an interview with Christina Cala, Founder and CEO of CALAborate, Manish Bhardia discussed how Think AI values collaboration in their business on Christina’s interview series, Collaboration Conversations.

When asked why Microsoft is the central software at Think AI, Manish shared some personal insight;

“I started as a developer in the Microsoft world and I really liked the ease of use Microsoft tools provided us in programming, and that gave me an affection for Microsoft. That this company is making things easy for everybody on the planet, on every desk. And that’s why when we started Think AI as a business, I knew that if we could build on Microsoft Technology using Visual c++, .net, cloud, Office 365, and help end users become more productive then that would be a good win for us as a business, because we would be bringing the latest in technology and making it useful for end users.”

When asked how Think AI values collaboration, Manish shared with Christina;

“Collaboration, or the productivity which comes out of collaboration, is our biggest focus. We consider ourselves a productivity consultant, as the end result of technology is often productivity improvement. We work in teamwork solutions such as Teams and Share Point, and that totally relates to how a company can improve collaboration. So I would say collaboration is our biggest focus whenever we are working with any client. We focus heavily on how you can improve as a individual, collaboration with others and as a team, collaboration with teams across companies, with clients, etc. So our focus is collaboration, this topic is very near and dear to us.”

We always looking forward to helping companies streamline their collaboration, and as a result, improve their productivity. Call (949) 864-6105 or e-mail [email protected] with any questions on collaboration solutions for your company.

#collaboration #thinkai #collaborate #CALAborate #microsoft #teams #sharepoint #p2p #productivity #whymicrosoft

Recent Post

How to use chatbot services for healthcare on WhatsApp

How to use chatbot services for healthcare on WhatsApp

In recent years, technology integration into healthcare has made healthcare services more accessible, personalized, and efficient. Among these high-end technological advancements, the emergence of chatbot services for healthcare on platforms such as WhatsApp has...

read more

Related Articles

Prescriptive Analytics: Turning Manufacturing Data into Operational Gold

You are sitting on gold, but don’t even know it. Those terabytes of data streaming from your machines and production lines hold the keys to transforming your manufacturing operations. Yet day after day, the precious insights remain locked away while inefficiencies and waste eat into your bottom line. What you need is a master data alchemist to spin all that raw information into operational gold. With advanced analytics techniques like predictive and prescriptive modeling, you can extract actionable intelligence to optimize processes, prevent downtime, enhance quality, and drive strategic decision-making.

Imagine the possibilities if you could predict failures before they happen, tailor products exactly to customer specifications, and simulate the impact of your decisions. The power is in your hands to unlock the full potential of your manufacturing data. You just need the right tools and techniques – data alchemy – to turn it into gold.

Empowering Frontline Workers with Self-Service Analytics Tools: A Guide for Manufacturing CIOs

As a manufacturing CIO, you oversee massive amounts of operational data across your organization. However, this data often remains siloed and inaccessible to many frontline workers who could benefit from analytics insights. By implementing self-service analytics tools, you can empower these frontline workers to independently access, analyze, and derive insights from data relevant to their roles. This democratization of data unlocks tremendous potential, as workers can leverage analytics to guide operational decisions and process improvements.

This article explores best practices for manufacturing CIOs to roll out self-service analytics platforms successfully. You will discover how to select the right technologies, encourage adoption across the workforce, govern usage appropriately, and measure ROI. By following this guide, you can foster a truly data-driven culture and amplify the impact of your data assets.

Think AI