We've seen another acquisition in the shifting eDiscovery market this week as kCura, the developer of Relativity, announced its acquisition of Content Analyst Company, the brains behind the CAAT analytics engine (kCura’s press release is here). The acquisition is not entirely surprising. kCura has been relying on the CAAT engine to power its analytics offering for eight years. According to kCura, use of its Relativity Analytics offering “has grown by nearly 1,500 percent” since 2011, with more than 70% of current kCura’s customers with licenses.
What does this acquisition mean for kCura, its customers, and Content Analyst Company customers?
You can't turn anywhere without bumping into artificial intelligence, machine learning, or cognitive computing jumping out at you. Our cars brake for us, park for us, and some are even driving us. Our movie lists are filled with Ex Machina, Her, and Lucy. The news tells about the latest vendor and cool use of technology, minute by minute. Vendors are filling our voicemail and email with enticements. It's all so very cool!
But cool doesn't build a business. Results do.
Which brings me to the biggest barrier companies have in adopting artificial intelligence. Companies are asking the wrong questions:
What is artificial intelligence (or insert: machine learning or cognitive computing)?
What connects these two stories? Answer: An uprising of restless and empowered citizens and customers.
Five years ago our research began picking up faint vibrations of an approaching seismic shift -- what in those days we called a groundswell. People were using technology to take power from institutions. Technology was dissolving traditional means of government and corporate control -- pricing power, information monopolies, media influence, and various forms of private and public regulation. The new reality placed people on more equal footing in society and the economy, ushering in what Forrester and others call the Age of the Customer. In this 20-year era consumers will slowly but inexorably gain power.
Here are a few glimpses of this dynamic at work... 78% of U.S. consumers read detailed product or service reviews online before buying. 22% of U.S. buyers compare prices when they are shopping in a physical store. 20% of U.S. consumers trust digital financial advice as much as their human advisor. And we are just getting started...
At the RSA Conference two weeks ago, a common question from both clients and former colleagues -- “So, what’s it like being analyst?” -- led me to write this blog post.
In the interest of full disclosure, there were no massive epiphanies during my first year, but the transition from being on the vendor side for 15+ years to an analyst provided some perspectives, listed here in no specific order:
· The security industry is massive. Some former colleagues who learned of my new role often joked, “So you’ve gone to the dark side.” The irony is that analysts are actually removed from the penumbra of the four to six competitors that you obsess about when you work for a vendor. Once removed from this tunnel vision, you become more aware of the diversity of the infosecurity ecosystem. As an example, the number of exhibiting vendors at the RSA Conference is up 45% since 2014, to over 550 vendors. This reflects the ongoing vitality and demand for cybersecurity but also presents challenges to today’s security and risk professionals who have to evaluate an increasingly large and dynamic vendor landscape.
We’ve been hearing so much lately about the changing dynamics between B2B buyers and sellers. Not only are buyers engaging more and more online as part of their evaluation and purchase process, but sellers have the ability to track prospects’ behaviors and interests in order to contextualize their outreach as well. There is another exciting transformation underway...the arrival of the Millennials in force!
Today, Millennials make up a third of the workforce; by 2020, they will be half. This generation of employees may work more to your advantage than you think. Born in the digital age to tech-savvy parents, Millennials have experienced everything from the pseudo Y2K crisis to the 2008 downturn to the social media explosion in the mid-2000s. They don’t quite function or react in the workplace like Boomers and Gen Xers, and they have different needs. But, there’s an upside and a divergent side to be considered with them.
Not having the right tools or enforcing restrictive schedules can work against sales and marketing leaders…and don’t forget to give and take feedback at each step of the way. And what about the rest of your sales team? Is it possible for Millennials and more tenured reps to work synergistically? You bet! Make sure you encourage collaboration through reverse mentorship and in-tune management approaches, and you’ll be pleasantly surprised. The right tools and technologies are only the tip of the iceberg in thinking about how you can support your sales force both today and in the future.
You all know them: people who won’t let you eat until they’ve Instagrammed their meal, pedestrians who’ve walked into you because they’re staring at their phones and scrolling through Facebook. Our society is immersed in social media- and the numbers and expectations are growing. In fact, only 28% of the online US population spurns social interactions with companies.
The pervasive use of social channels made marketers hungry for insights and feedback coming directly from the consumer’s mouths and social is one of the cheapest and best ways to do that. But social listening has been around for years, what’s so different about it now?
The gears are turning- and social listening is turning to social intelligence (finally). In the last couple of years, social listening platforms have doubled down on analytics to keep pace with the needs of customers and prove their worth for use across the enterprise by enabling insights to action. In our recent Forrester Wave™ report, we evaluated 12 vendors (Brandwatch, Cision, Clarabridge, Crimson Hexagon, NetBase, Networked Insights, Oracle, Prime Research, Salesforce, Sprinklr, Synthesio, and Sysomos) along 30 criteria that measured their abilities to:
· Integrate with other marketing and business tools. Social maturity involves tying social metrics to business objectives. Marketers in search of a social platform should include in their critical selection criteria the ease of integration with their existing CRM, customer analytics tools, or voice-of-the-customer (VoC) tools.
You don't need a $20,000 computer to collaborate on a Word doc anymore. Microsoft's Project Rigel will bring a Skype Meeting experience to any meeting room with a display or projector.
Previously the videoconferencing collaboration technology was only available to users of Microsoft Surface Hub, a large screen computer ranging in price from $9,000 to $22,000.
If you're not familiar with how Surface Hub works or what collaboration with it may look like, here's a video.
Surface Hub married document collaboration, whiteboarding and video conferencing into a single system with the obvious drawback of the initial hardware investment. With wide ranging enterprise implications for AD&D pros, Project Rigel will:
Democratize the technology. Project Rigel lowers the barrier to entry to any meeting room with a display or projector.
Force Windows 10 upgrades. Rigel will only work on machines running Windows 10 so for enterprises that are holding back, this could be the push needed.
Make Office a stronger application for collaboration. Google's suite of productivity apps led the charge in collaboration, making it free and easy co-edit documents, spreadsheets and slideshows. With this announcement, Microsoft could recapture lost market share.
Push hardware investments in Polycom and Logitech. The two VC companies partnered with Microsoft and certified elements of their portfolios to work with Project Rigel. These include the Polycom RealPresence Trio and CX5100 and Logitech ConferenceCam Connect, ConferenceCam GROUP and PTZ Pro Camera.
More than 100,000 people descended on Barcelona, Spain last week to be part of Mobile World Congress (MWC), one of the world’s largest annual technology events. My new report,IoT And Insights Are Two Sides Of The Same Coin, recaps some of the MWC 2016, including expectations for new 5G networks, the Internet of Things (IoT), and applications that will deliver value from the multitude of connected things — and people. A few of those highlights include:
5G Networks Promise Speed But Require Patience.
Telecom operators and network equipment providers eagerly discussed the faster speeds and lower latency of new 5G networks. And, fast it will be. While reports vary, network tests show download speeds peaking at more than 20 Gbps; average 5G speed is expected to be 100 times faster than current 4G networks. With that kind of speed, true video streaming becomes a reality for consumer and business uses. And, that reality can be with virtual or augmented: AR and VR were all over the exhibit hall. I successfully fought with a dragon but had to bail out of the helicopter I was flying as the experience got a little too real.
But alas, these good things only come to those who wait. The 5G standards will not be finalized before 2018; and commercial availability not before 2020 at the earliest. Large-scale network rollouts will likely take much longer. For now, we’ll all have to live with 4G reality as it is.
Interest In The Internet Of Things Is Exploding – Well Beyond Things.
Our annual organizational and staffing survey of digital professionals heralds change in 2016. The meteoric growth in digital team sizes has plateaued, and as line-of-business teams take on responsibility for digital execution and technology management teams step up to manage digital development, the nature, makeup and role of the digital team is shifting. The demand for skills like analytics, customer experience and product management is growing as digital teams take on end-to-end ownership of their firm’s digital experience. Our latest report, Trends 2016: Staffing And Hiring For Digital Business, outlines the key organizational trends and benchmarks for digital teams in the coming year.
Our key findings from the survey are:
Headcount Growth Plateaus As Operating Model Shifts. Digital headcount growth has plateaued, with teams averaging 94 people, down from 95 in 2014 and 103 in 2013. As technology and line-of-business teams step up to the digital plate, digital teams focus their resources on strategy and governance, channeling execution headcount into operational teams.
Technology Skills Aren’t The Biggest Headache Anymore. Technology skills are still hard to find, but roles like analytics and product management are increasingly vital, and much harder to source. As the role of digital teams shift from being operators and executors to strategists and coaches guiding line of business teams as they embrace digital, so to does the nature of the skills in digital teams. This way of operating demands more strategic and consultative skills than operational or technical specialists.
One of the reasons for only a portion of enterprise and external (about a third of structured and a quarter of unstructured -) data being available for insights is a restrictive architecture of SQL databases. In SQL databases data and metadata (data models, aka schemas) are tightly bound and inseparable (aka early binding, schema on write). Changing the model often requires at best just rebuilding an index or an aggregate, at worst - reloading entire columns and tables. Therefore many analysts start their work from data sets based on these tightly bound models, where DBAs and data architects have already built business requirements (that may be outdated or incomplete) into the models. Thus the data delivered to the end-users already contains inherent biases, which are opaque to the user and can strongly influence their analysis. As part of the natural evolution of Business Intelligence (BI) platforms data exploration now addresses this challenge. How? BI pros can now take advantage of ALL raw data available in their enterprises by: