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Forbes Cloud 100 2020, list of SaaS companies

#Insights from the #Forbes #cloud100 2020, list of #SaaS companies.

Along with the list of #skills that are #ondemand right now.

Some Insights from the Forbes Cloud 100 2020, list of SaaS companies:

The following Industry Verticals are leading the current technology landscape.

  1. Enterprise AI
  2. Data Analytics / Data Intelligence
  3. Data Management / Data Platform
  4. Cyber Security
  5. Sales CRM / Sales Enablement / Sales Engagement / Customer Engagement
  6. Customer Communications Software
  7. Design Software
  8. DevOps Software
  9. Team Management / Collaboration
  10. Robotic Process Automation
  11. Collaboration Software
  12. Payments Software

And the Companies in the above verticals are:

  1. Enterprise AI – DataRobot, C3.ai, Dataiku, Dataminr
  2. Data Analytics / Data Intelligence – Databricks, Sisense, ThoughtSpot, Collibra
  3. Data Management / Data Platform – Snowflake, Confluent, Rubrik, Veeam, Cohesity
  4. Cyber Security – Tanium, Netskope, Darktrace, BitSight
  5. Sales CRM / Sales Enablement / Sales Engagement / Customer Engagement – Pipedrive, Seismic, Gong.io, Highspot, Outreach, Segment, Freshworks, Braze, Sprinklr, Gainsight
  6. Customer Communications Software – Front, Intercom, Podium
  7. Design Software – Canva, Figma, Invision
  8. DevOps Software – GitLab, JFrog
  9. Team Management / Team Collaboration – Asana, Monday.com, Notion
  10. Robotic Process Automation – UIPath, Automation Anywhere
  11. Collaboration Software – Symphony Communication Services, Miro
  12. Payments Software – Stripe, Checkout.com

The Skills that are in demand:

  1. Artificial Intelligence
  2. Machine Learning
  3. Data Science, Data Analytics
  4. Data Management
  5. Cybersecurity
  6. Sales
  7. Mobile Development
  8. Internet of Things
  9. Robotics
  10. Fintech

#jobs2020 #jobs #techtrends2020 #postcovid19 #trending #techjobs #skillsdevelopment

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Heard of these cutting-edge tech startups?

They are all #hiring.

  1. Algolia – https://www.algolia.com/ – Search as a Service
  2. ASAPP – https://www.asapp.com/ – Create better customer experiences
  3. BigID – https://bigid.com/ – Data Discovery, Privacy & Protection
  4. Dialpad – https://www.dialpad.com/ – Business VoIP
  5. Frame.io – https://frame.io/ – Video Collaboration Platform
  6. Gong – https://www.gong.io/ – Revenue Intelligence for Teams
  7. Loom – https://www.loom.com/ – Video Messaging for Work
  8. Sendbird – https://sendbird.com/ – Chat Platform
  9. Tray.io – https://tray.io/ – General Automation Platform for Business
  10. Webflow – https://webflow.com/ – Responsive Web Design Tool, CMS

Try to use these tools for improving your marketing & sales effectiveness and also improving your customer experiences.

You can also use this list as Sales leads.

#sales #marketing #customerexperience

Happy Selling!!

#customerexperience #CustomerExperiencetools #Cuttingedgetech #Marketingtools #Salestools #Startups #happyselling #b2b #changethegame #b2bsales #newtech #fundedcompanies #hiring #jobs #cx #marketingautomation #saleseffectiveness #gong #bigid #datadiscovery #leadgen #leadgeneration

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What’s that you are reading?

Before I buy any book, I find out what other books customers have bought.

This has become a habit for me from the time Amazon started telling me “customers who bought this also bought this…”.

That sends me back to the time I was selling Data Warehousing solutions back in 2000. And the example everyone was quoting back then was: “why are infant’s napkins selling high along with beer bottles on a Friday evening and when placed next to the beer bottles”. We have grown much from that these days with big data.

Coming back to books and why I look at other books: That gives me an understanding on what to expect. Also, I read what others have had to say about the book, in the first two pages or on the back cover: It is like watching a trailer on Prime Video or Netflix to assess the quality that you can expect. You may even find one or two of your favorite authors talking about the book, for sure, and that will immediately help you decide whether to buy the book or not. Mostly, you will read it. With a good outlook and mindset. And you will get what you should get out of the book.

What has been your experience?

Share it in comments.

Also, are there any tips for quick reading?

And what are you doing to retain what you have read?

Are you taking some notes or writing some take away from your reading?

I have had people ask me “what’s the new book that I am reading” or “what’s the best sales book I have read” etc. The take away and how the book has impacted will help in this kind of a conversation and you will always have many interesting things to share with your customers.

Happy Reading!

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What is Deep Learning?

It is a significant part of Machine Learning. And it tries to mimic human brain in a sense. There have been many failures as well as successes.

Speech Recognition & Image Recognition are huge successes.

It is a promising subject and opportunities are growing. It can probably predict medical problems or traffic bottlenecks on the road.

Ray Curzweil [Author of “How to create a mind”] is leading the initiative at Google and likewise Microsoft is also making progress in Deep Learning.

May be, some time in future, the AI System will be able to answer that dumb question: where do you find yourself 5 years from now?

The possibilities are endless. Exciting and Scary, at the same time.

Read this long & old [I am sure it must be few years, say 2013] but very interesting Technology Paper [before Google came out with Tensor Flow] from MIT:

https://www.technologyreview.com/s/513696/deep-learning/

Happy Learning!!