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Market Insight


Cloud Computing solutions, including Software, Infrastructure, Platform, Unified Communications, Mobile, and Content as a Service are well-established and growing. The evolution of these markets will be driven by the complex interaction of all participants, beginning with end customers.

Edge Strategies has conducted over 80,000 interviews in behalf of our clients in both mature and emerging markets with decision-makers across the full cloud ecosystem- including Vendors, Service Provider and End Customer organizations.

Typical projects include:

  • Identifying target market segments
  • Designing Service Portfolios
  • Designing Application and Services Features
  • Developing Value Proposition and Messaging for each customer segment
  • Analyzing competitive alternatives and determining best practices
  • Designing Activation Programs
  • Building process to reduce churn, build loyalty and measure Customer Lifetime Value
  • Improving the User Experience

We provide current, actionable insight into business decision processes across market segments, from SMBs to Large Enterprises. Our work leverages a deep understanding of the business models of key Cloud Ecosystem participants including:

  • Cloud Service Providers ( CSPs)
  • Web Hosting Providers
  • Communication Service Providers
  • ISVs and Automation Providers
  • MSPs and IT Channels

Our experience allows us to get up to speed quickly on new projects. We are experts in designing and conducting quantitative and qualitative research. Based on our focused findings, we work with our clients to make the decisions necessary to gain early success in a variety of markets, including SaaS, IaaS, PaaS, UCaaS, and mobile/device services.    

 

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News

Computerworld

  • Blockchain: What’s it good for? Absolutely nothing, report finds

    In a joint report for the Monitoring, Evaluation, Research and Learning (MERL) Technology conference this fall, researchers who studied 43 blockchain use cases came to the conclusion that all underdelivered on claims.And, when they reached out to several blockchain providers about project results, the silence was deafening. "Not one was willing to share data," the researchers said in their blog post.To read this article in full, please click here

  • Amazon launches patient data-mining service to assist docs

    Amazon this week announced its latest data analytics product, one aimed at scouring unstructured data within electronic medical records (EMRs) to offer up insights that physicians can use to better treat patients.Amazon's new Comprehend Medical AWS cloud service is a natural-language processing engine that purports to be able to read physician notes, patient prescriptions, audio interview transcripts, and pathology and radiology reports – and use machine learning algorithms to spit out relevant medical information to healthcare providers.[ Further reading: A.I. and speech advances bring virtual assistants to work ] Amazon's Comprehend Medical software service is one of 13 new machine learning software products the company announced on Tuesday.To read this article in full, please click here

  • Ohio becomes the first state to accept bitcoin for tax payments

    Ohio this week began accepting bitcoin as a form of tax payment from businesses, making it the first U.S. state to do so.The Ohio Treasurer's office said it is working to help make the state a national leader in blockchain, the underlying platform for bitcoin. Blockchain can be used for many different types of business transactions – from supply chain tracking to the creation of a mesh network for IoT devices.To read this article in full, please click here

  • Apple's small Silk Labs purchase pushes AI to the edge

    Apple’s AI push into on-device machine learning continues with news of its acquisition of Silk Labs breaking just as the U.S. heads into its annual holiday season.The edge case for artificial intelligence (AI) The Information states Apple quietly acquired Silk Labs earlier this year.Apple’s new purchase seems a good one.The acquisition closely matches Apple’s feelings about the need to put AI/machine intelligence at the edge. Devices must be smart enough to function when they are offline and secure enough not to damage the privacy of customers.To read this article in full, please click here

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