How Machine Learning Acquisitions and Implementations Are Adding Value

The "How Machine Learning Acquisitions and Implementations Are Adding Value" webinar will be held on December 12 at 11 am ET. After that date, the recording will be available below.

Data is a company’s most-valuable resource, but only if the value can be unlocked. For most companies, Machine Learning is the key to unlocking that value. It may still be the early days for machine learning technologies, but nonetheless, companies are still making big strategic bets on how they are going to run their businesses in the coming era of smarter software, both in terms of acquisitions and implementation. For a comprehensive look at machine learning – covering everything from the technological underpinnings to the financial outcomes in the sector – join 451 Research’s Research Vice Presidents Brenon Daly and Nick Patience for a webinar on Dec. 12 at 11am ET as they make sense of the machine learning market including how some key tech acquirers are participating in the rapidly emerging market. Additionally, they’ll take a deep-dive into the machine learning technology itself, and how IT professionals are actually leveraging it.

Data is a company’s most-valuable resource, but only if the value can be unlocked. For most companies, Machine Learning is the key to unlocking that value. It may still be the early days for machine learning technologies, but nonetheless, companies are still making big strategic bets on how they are going to run their businesses in the coming era of smarter software, both in terms of acquisitions and implementation. For a comprehensive look at machine learning – covering everything from the technological underpinnings to the financial outcomes in the sector – join 451 Research’s Research Vice Presidents Brenon Daly and Nick Patience for a webinar on Dec. 12 at 11am ET as they make sense of the machine learning market including how some key tech acquirers are participating in the rapidly emerging market. Additionally, they’ll take a deep-dive into the machine learning technology itself, and how IT professionals are actually leveraging it.
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How, why, and when AI & machine learning will transform organizations

Written by: Nick Patience, 451 Research Founder and Research Vice President – Software

AI – and machine learning in particular – is set to be the most transformative technology existing over the next decade, but it’s only just getting started. 

We have been covering AI and machine learning at 451 Research since we started the company in 2000. Back then, we were primarily focused on text analytics around use cases in government intelligence scenarios and, in the future, in the legal industry. We branched out from there as additional information types – such as audio speech, images and video – became viable data types from which machine learning can extract insights. To enhance our coverage of this vast and evolving space, we launched our inaugural survey on the topic: Voice of the Enterprise: AI & Machine Learning survey – Adoption, Drivers and Stakeholders 2018

Our new survey brings together use cases, business benefits, barriers to adoption and information about how who is influencing and ultimately deciding when, how and why to adopt machine learning. Given it is an omni-purpose technology, it is not surprising that use cases for machine learning are spread across all industry verticals and all layers of organizations. Practically everybody surveyed – 97% – believe AI will have an impact on society and 75% of this group think it will have a moderate to significant impact within the next two years. The question is how much impact and where will it be felt?

PR Graphic VotE AI 2018 2 1
Industry Optimism
 
Respondents are broadly optimistic, with 69% of them believing AI will have a mostly or somewhat positive impact on society. The much-vaunted threat of job losses doesn’t seem to concern people that much. While 62% think AI will have some type of impact on their organization, only 7% of them think it will be negative, suggesting respondents aren’t worried about AI replacing their jobs in the near term. 

VotE AI 2018 blog image 2
As the domain gets closer to the individual situation, we find people becoming more ambivalent about the effect of AI. Our survey found only 36% or respondents believe it will have a significant or moderate impact and 40% are unsure whether the impact will be positive or negative.
 
Enterprise adoption
 
Although we are in the very early phases of machine learning adoption – probably in the flat bit at the start of an S curve by our reckoning – we found plenty of organizations already developing or deploying machine learning. Some 36% of respondents are currently either developing or deploying machine learning. Early adopters could be developing it themselves with in-house talent, using some sort of third party to develop it for them or buying applications with machine learning already built in – security tools of various types being a good example of the last of those. 
 
Exactly how they are developing and deploying is predictably varied, with no single approach dominating. Some respondents are using cloud-based tools and third-party systems, but a healthy portion are looking to buy applications with machine learning built in while others are looking to build in-house. Similarly, several different execution venues are available for both development and deployment, as are a proliferous set of tools. Cloud-based platforms are the most popular, with almost half using them, but breaking that down, we see where machine learning is being developed or deployed varies by the status of the initiative. For example, those that say they plan to use machine learning in the future are more inclined to choose cloud platforms than those already deploying machine learning. 
 
This survey paints an overall picture of what is going on in small to large enterprises in North America, Europe and Asia-Pacific. Future surveys will focus sharply on use cases and business benefits and delve even more deeply into the infrastructure changes that are required or already happening to make the promise of AI and machine learning attainable for all organizations.

Learn more about Voice of the Enterprise.
Written by: Nick Patience, 451 Research Founder and Research Vice President – Software
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Prepping for HCTS – Q&A with Research Vice President Matt Aslett

Next up in our “Prepping for HCTS – Q&A” series, I spoke with Research Vice President Matt Aslett. Matt has overall responsibility for the data platforms and analytics coverage and he last presented at HCTS in 2013.

Q: What will you be discussing in this session?

A: Our research shows that artificial intelligence (AI) and machine learning (ML) are among the highest priorities for enterprises and service providers as they seek to deliver data-driven efficiencies and competitive advantage – 29% of survey respondents ranked ML/AI as a priority for 2018 and 12% of respondents currently use these technologies (See Figure 1).Vote digital pulse 2017 Matt QA
AI and ML fundamentally change the relationship between humans and computers, because tasks thought previously beyond computers – and thus solely the preserve of humans – are rapidly becoming possible using software. In fact, 47% of survey respondents say they plan to use AI and machine learning within the next two years. I’ll be talking about 451’s perspective on AI and ML, the potential they have to drive significant long-term change, as well as the likely immediate impact on infrastructure and service provision in particular.

Q: Why should HCTS attendees find this session valuable/what can they hope to gain?

A: 451 Research believes that artificial intelligence is set to revolutionize not only the software industry, but also the way we live, work, learn and play. And yet, while the long-term implications of AI are truly revolutionary, the initial improvements are likely to appear relatively routine and narrow. This dichotomy has the potential to create disillusionment but is par for the course in terms of the history of technological revolution.

Humanity’s ability to perceive the future is often limited by our current reality and a tendency to simultaneously over-estimate short-term gains while underestimating long-term implications. Within this context, we’ll discuss some of the anticipated benefits of AI and machine learning for infrastructure and service provision in particular: from automating IT service desks to ensuring data centers are run as efficiently as possible to capacity forecasting. The potential to apply these technologies is so vast that the challenge can be knowing where to deploy resources first. As such, we’ll also provide a practical guide to early AI use-cases and examples, 451 Research’s five-step process for success with machine learning and cover key questions such as:
  • Why now for AI and machine learning and how to get started?
  • How and AI and ML help me run my data centers more efficiently?
  • How can elements of IT service provision be automated using AI and ML?

Q: Why are you excited to attend this year’s HCTS?

A: HCTS is always a great event with a mixture of interesting and educational content as well as the ability to socialize with like-minded decision-makers and thought-leaders. As usual, there’s a great agenda with interesting presentations and discussions involving both 451 Research analysts and industry luminaries. This year’s event promises to be particularly interesting given the emergence of the age on consumption, as well as the confluence of multiple industry trends, including cloud, the Internet of Things, and artificial intelligence.

To hear Matt discuss applications for AI within the enterprise, register for HCTS 2018 which will be held at the Bellagio in Las Vegas, September 24-26. Keep an eye out for the other posts in our ongoing series, including our Q&A with William Fellows.

Figure 1 from Voice of the Enterprise (VoTE) – Digital Pulse: Budgets and Outlooks 2017
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