Box is adding free whiteboarding tool for collaborating on visual content

When you talk to folks about what they have missed most about the office since we moved to work from home in 2020, people often point to whiteboarding in a conference room with colleagues, something they have said was hard to do in a digital context. Many companies have tried to fill that void, including startups Mural and Miro, the latter of which had a fat $17.5 billion valuation in its most recent round.

Today, Box is entering the fray with the announcement of Box Canvas, a tool that lets you do virtual whiteboard-style brainstorming, but also gives you a place to collaborate on various types of visual content such as a product workflow or a brick and mortar merchandising plan.

Box CEO and co-founder Aaron Levie says that his product integrates with the Microsoft and Google office suites for structured document collaboration, and it also has its own native tooling with Box Notes, but the idea is to bring that ability to collaborate from the realm of structured documents to more visual kinds of content.

“With Canvas, we’re bringing that same kind of experience, but more to visual collaboration, so that kind of virtual whiteboard type experience. I think even though it’s a space that has seen great innovation from many companies, I still believe it’s actually extremely early in this market. And I think we’re only just starting to see the kind of potential of what work is going to look like in this hybrid way of working.”

Image Credits: Box

While Box will bundle Canvas into its new suite offering at no additional charge, it also intends to make it available for free as a standalone offering for anyone who wants to use it with no limits. He said the intention is to never charge for this capability moving forward.

“There are a bunch of core activities that we think every user on the planet is going to want to do with their content. You’re going to want to store it, share it, collaborate around it, get it signed. And so we want to make as many of those core capabilities available to the widest number of people — and then we’ll have advanced features based on your ability to govern that data or make it compliant for a specific industry. Those will be very advanced capabilities that we continue to have more and more of over time [and we will charge companies for those capabilities],” he said.

Product-led growth has worked for the company from its earliest days when it began offering a free tier of Box, and Levie sees offering Canvas for free as an extension of that thinking, something the company intends to fully embrace moving forward.

As for those other companies producing similar software, Levie says this isn’t about competing with them because it’s a free add-on. “I don’t really think about it as having to compete with anyone, frankly, because it’s for our customers. So if you’re a Box customer and you’re using a Box for managing your most important content, this is just another really valuable way to get your work done.”

Box Canvas will be available in the fall, according to the company.

When you talk to folks about what they have missed most about the office since we moved to work from home in 2020, people often point to whiteboarding in a conference room with colleagues, something they have said was hard to do in a digital context. Many companies have tried to fill that void, including

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The post Guide to Solar Marketing appeared first on U.S. Green Technology.

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The post Guide to Solar Marketing appeared first on U.S. Green Technology.

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The post What Green Technology Makes the Most Difference for Energy Efficiency at Home? appeared first on U.S. Green Technology.

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The post What Green Technology Makes the Most Difference for Energy Efficiency at Home? appeared first on U.S. Green Technology.

What is Data Science?

Data science continues to grow as one of the best and in-demand job paths for skilled experts. Nowadays, successful data experts comprehend that they are essential to advance past the standard mastery of analyzing large quantities of data, data mining, and programming talents. In order to uncover valuable intelligence for their organizations, a data scientist’s important to master the whole scope of the data science life process and possess a level of flexibility and learning to maximize returns at every phase of the process.

Why does anyone use Data Science?

The main intent of Data Science is to discover patterns within data. It utilizes different statistical strategies to analyze and draw insights from the data. From data extraction, wrangling, and pre-processing, a Data Scientist is important to analyze the data thoroughly.

Then, he/she has the responsibility of creating forecasts from the data. The purpose of a Data Scientist is to derive conclusions from the data. Via these conclusions, he is capable to help businesses in creating smarter business decisions. We will separate this blog into different sections to comprehend the role of a Data Scientist in more detail.

Why Become a Data Scientist?

Many job sites classified data scientists among the highest three jobs in America since 2016. As increasing quantities of data evolve more accessible, big tech firms are no longer the only ones in demand of data scientists. The growing need for data science experts across industries, large and small, is being challenged by a shortage of capable prospects available to fill the available positions. The demand for data scientists reveals no sign of slowing down in the future years. LinkedIn recorded data scientist as one of the best jobs in 2022, along with numerous data-science-related talents as the most in-demand by businesses. The statistics listed below represent the important and increasing need for data scientists.

Why Data Science?

Importance of using Data Analytics Technology:

  • Data is the fuel for new advancements. With the right tools, technologies, algorithms, we can utilize data and transform it into a distinct organizational benefit
  • You can complete sentiment research to measure consumer brand loyalty
  • Data Science can aid you to see fraud by utilizing advanced machine understanding algorithms
  • It helps you to suggest the correct product to the right consumer to improve your company
  • It helps you to prevent any significant financial losses
  • Permits to make intelligence capability in machines
  • It allows you to create nicely and quicker decisions

What are the Job roles of Data science Specialists in an Organization:-

  • Data Scientist
  • Business Intelligence Analyst
  • Data Architect
  • Senior Data Scientist
  • Data Mining Engineer
  • Senior Data Scientist
  • Data Administrator
  • Marketing Analyst
  • Data Manager

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