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Posts tagged ‘enterprise software adoption’

How Artificial Intelligence Is Revolutionizing Enterprise Software In 2017

future-of-artificial-intelligence-and-big-data

  • 81% of IT leaders are currently investing in or planning to invest in Artificial Intelligence (AI).
  • Cowen predicts AI will drive user productivity to materially higher levels, with Microsoft at the forefront.
  • Digital Marketing/Marketing Automation, Salesforce Automation (CRM) and Data Analytics are the top three areas ripe for AI/ML adoption.
  • According to angel.co, there are 2,200+ Artificial Intelligence start-ups, and well over 50% have emerged in just the last two years.
  • Cowen sees Salesforce ($CRM), Adobe ($ADBE) and ServiceNow ($NOW) as well-positioned to deliver and monetize new AI-based application services.

These and many other fascinating insights are from the Cowen and Company Multi-Sector Equity Research study, Artificial Intelligence: Entering A Golden Age For Data Science (142 pp., PDF, client access reqd). The study is based on interviews with 146 leading AI researchers, entrepreneurs and VC executives globally who are involved in the field of artificial intelligence and related technologies. Please see the Appendix of the study for a thorough overview of the methodology. This study isn’t representative of global AI, data engineering and machine learning (ML) adoption trends. It does, however, provide a glimpse into the current and future direction of AI, data engineering, and machine learning.  Cowen finds the market is still nascent, with CIOs eager to invest in new AI-related initiatives. Time-to-market, customer messaging, product positioning and the value proposition of AI solutions will be critical factors for winning over new project investments.

Key takeaways from the study include the following:

  • Digital Marketing/Marketing Automation, Salesforce Automation (CRM) and Data Analytics are the top three areas ripe for AI/ML adoption. Customer self-service, Enterprise Resource Planning (ERP), Human Resource Management (HRM) and E-Commerce are additional areas that have upside potential for AI/ML adoption. The following graphic provides an overview of the areas in software that Cowen found the greater potential for AI/ML investment.

Artificial Intelligence: Entering A Golden Age For Data Science

  • 81% of IT leaders are currently investing in or planning to invest in Artificial Intelligence (AI). Based on the study, CIOs have a new mandate to integrate AI into IT technology stacks. The study found that 43% are evaluating and doing a Proof of Concept (POC) and 38% are already live and planning to invest more.  The following graphic provides an overview of company readiness for machine learning and AI projects.

How Artificial Intelligence Is Revolutionizing Enterprise Software In 2017

  • Market forecasts vary, but all consistently predict explosive growth. IDC predicts that the Cognitive Systems and AI market (including hardware & services) will grow from $8B in 2016 to $47B in 2020, attaining a Compound Annual Growth Rate (CAGR) of 55%. This forecast includes $18B in software applications, $5B in software platforms, and $24B in services and hardware. IBM claims that Cognitive Computing is a $2T market, including $200B in healthcare/life sciences alone. Tractica forecasts direct and indirect applications of AI software to grow from $1.4B in 2016 to $59.8B by 2025, a 52% CAGR.

Artificial Intelligence: Entering A Golden Age For Data Science

  • According to CBInsights, the number of financing transactions to AI start-ups increased 10x over the last six years, from 67 in 2011 to 698 in 2016. Accenture states that the total number of AI start-ups has increased 20-fold since 2011. The top verticals include FinTech, Healthcare, Transportation and Retail/e-Commerce. The following graphic provides an overview of the AI annual funding history from 2011 to 2016.

Artificial Intelligence: Entering A Golden Age For Data Science

  • Algorithmic trading, image recognition/tagging, and patient data processing are predicted to the b top AI uses cases by 2025. Tractica forecasts predictive maintenance and content distribution on social media will be the fourth and fifth highest revenue producing AI uses cases over the next eight years. The following graphic compares the top 10 uses cases by projected global revenue.

ai-use-cases

  • Machine Learning is predicted to generate the most revenue and is attracting the most venture capital investment in all areas of AI. Venture Scanner found that ML raised $3.5B to date (from 400+ companies), far ahead of the next category, Natural Language Processing, which has seen just over $1Bn raised to date (from 200+ companies). Venture Scanner believes that Machine Learning Applications and Machine Learning Platforms are two relatively early stage markets that stand to have some of the greatest market disruptions.

Artificial Intelligence: Entering A Golden Age For Data Science

  • Cowen predicts that an Intelligent App Stack will gain rapid adoption in enterprises as IT departments shift from system-of-record to system-of-intelligence apps, platforms, and priorities. The future of enterprise software is being defined by increasingly intelligent applications today, and this will accelerate in the future. Cowen predicts it will be commonplace for enterprise apps to have machine learning algorithms that can provide predictive insights across a broad base of scenarios encompassing a company’s entire value chain. The potential exists for enterprise apps to change selling and buying behavior, tailoring specific responses based on real-time data to optimize discounting, pricing, proposal and quoting decisions.

Artificial Intelligence: Entering A Golden Age For Data Science

  • According to angel.co, there are 2,200+ Artificial Intelligence start-ups, and well over 50% have emerged in just the last two years. Machine Learning-based Applications and Deep Learning Neural Networks are experiencing the largest and widest amount of investment attention in the enterprise.
  • Accenture leverages machine learning in 40% of active Analytics engagements, and nearly 80% of proposed Analytics opportunities today. Cowen found that Accenture’s view is that they are in the early stages of AI technology adoption with their enterprise clients.  Accenture sees the AI market growing exponentially, reaching $400B in spending by 2020. Their customers have moved on from piloting and testing AI to reinventing their business strategies and models.

Why Cloud Computing is Accelerating in the Enterprise

Cloud computing gaining in the enterprise Translating time into dollars matters far more to many CEOs I’ve spoken with versus what platform their applications are running on.

What matters most is getting all they can out of every hour their business is operating.  They are all focused on getting beyond the constraints that held their growth back in the past – everyone wants a growth accelerator today.  For manufacturers especially, this includes applications with depth of functionality that can be quickly deployed regionally, and in more cases than ever, globally as well.  Line-of-business leaders want applications that make an immediate impact on their entire value chain.

Just having a cloud strategy is not enough for any enterprise software company anymore. Owning the pain prospects and customers go through daily to get work done is all that matters.  Every application and platform component needs to contribute to the goal of reducing customer’s challenges of doing business.  In studying companies who excel at this, I’ve often used stock market indices to see how they compare to market averages and their competitors.

Charting Progress Using the Cloud Computing Stock Index

Creating and using stock indices to track the performance of specific industry and market sectors is a great way to cut through hype.  I’ve been using these for over a decade to track industries and markets of interest, and have built the Cloud Computing Stock Index. You can download the latest summary here.  If there are companies you think need to be included please let me know.  I deliberately left out IBM, Google, Microsoft, Oracle and SAP as a prerequisite is that a firm derive at least 50% or greater revenue from cloud-based applications and services.

The graph below shows all-time performance of the Cloud Computing Index relative to Microsoft, Salesforce.com. NetSuite and Workday.

Figure 1 stock index

Key Take Aways

  • NetSuite posted a 62.6% increase in stock performance, followed by Workday (+20.57%), Salesforce (+4.23%) and the Cloud Computing Index (+4%) with Microsoft seeing a 8.18% decline in share price during the period.
  • NetSuite, Salesforce and Workday continue to gain new customers in the mid-tier and enterprise areas of the market based on depth of functionality, rapid application development (RAD), and increasing success creating alliances with system integration, selling and technology partners.
  • Workday’s expertise in Human Capital Management is accentuated by the depth of analytics and trend analysis and expertise in cloud-based integrations.  Their depth of functional expertise in these areas is leading to rapid growth.
  •  NetSuite is succeeding with its two-tier ERP selling strategy against long-standing ERP vendors including Oracle, SAP and others.

Bottom line:  Salesforce, NetSuite and Workday show how developing cloud-based applications designed for ease of use and speed of deployment are winning new customers in the enterprise – and driving up their stock price as a result.

Specifics on the Cloud Computing Stock Index

I used The Cloud Times 100 as the basis of the index, and included the 23 following companies, all of which are publically traded.  These include:

  • Akamai Technologies.
  • Amazon.com, Inc.
  • ARM Holdings plc
  • CA, Inc.
  • Cisco Systems, Inc.
  • Citrix Systems, Inc.
  • EMC Corporation
  • F5 Networks, Inc.
  • Fusion-IO, Inc.
  • Intuit
  • Juniper Networks, Inc.
  • Keynote Systems, Inc.
  • NetSuite Inc
  • Qualys Inc
  • Rackspace Hosting, Inc.
  • Red Hat, Inc.
  • Riverbed Technology…
  • Salesforce.com, inc.
  • Symantec Corporation
  • Trend Micro Incorporated
  • VMware, Inc.
  • Websense Inc.
  • Workday Inc

 Note: I do not hold equity positions or work for any of the companies mentioned in this blog post or included in the Cloud Computing Stock Index.  

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