I hope you and yours are safe and healthy during these pandemic days. I delivered on a promise to my Grandson and painted Kale a dragon that we kind of designed on our last visit to Austin before Christmas. It was a fun piece to do even though there is a bit of a sinister feel to it. I also completed a couple more fractals for you to see. If you are interested in seeing my portfolio or buying a piece, please click here
Today when organizations talk about content analytics, they
generally are talking about the effectiveness of marketing efforts or website
effectiveness. This is often productive but narrow leverage of content. Content
is often the forgotten large vein of big data that has more potential for
finding nuggets of business benefits. I would suggest there is a larger
category of leveraging content than content analytics applied to revenue
generation. I call this Content Intelligence.
Content Intelligence is the act of applying natural language processing (NLP),
machine learning (ML), deep learning (DL), business intelligence (BI) and
business analytics (BA) practices to a variety of
digital content. Companies use content Intelligence software
to provide visibility into the amount of content that is being
created, the nature of that content, and how it is used.
The Unprecedented Growth
of Unstructured Content:
While the has been a steady growth of traditional content
and the importance of enterprise content management (ECM), the use of this
content is being leveraged better in the new digital world. While digital
methods have increased the productivity of the first mile of content-rich process
flows, there is much more to leverage as we move to an increasingly digital
world. Organizations are looking to turn audio and video into actionable
insights in order to respond to issues in real-time, uncovering insights in
large archives, boost the leverage with machine learning ad accelerating
Utilization of Unstructured Content:
We see increased leverage of knowledge by systematically
using NLP to find key nouns, relationships, and new leverage points. Imagine
mining knowledge out of operations manuals to point to organizational knowledge
sources or to create helpful new videos for better outcomes. Organizations are
doing this right now. Imagine searching for moving images for defective parts
of managing costs and increasing employee safety. This is happening today.
Imagine equipping emergency personnel with active real-time maps of buildings
and infrastructure during emergencies like active shooter situations. This is
being done today. We are seeing the emergence of smart home and smart
infrastructures in cities leveraging audio and video. You can expect more
leverage of live and active content going forward because of the ability to
mine nouns, relationships, contexts, and interactions.
Digital Publishing is
Utilizing New Digital Assists:
Creating content is now easier by guiding authors with
better grammar, finding parallel writing that might indicate plagiarism, and
creating topical indexes for finding useful resources or references. This is
very helpful for traditional marketing and lead-generation over and above
traditional research and "publish or perish" situations. Consider
story mining of narratives to find successful approaches to creating better
While revenue generation is essential and analytics applied
to revenue efforts, content is often an underutilized pocket of big data for
organizations. We are in the early days of leveraging intelligence with various
kinds of content. There is so much more to do with content intelligence, so
it's time to increase your content IQ.
We have been hearing all kinds of data and analysis in and around the Coronavirus. In this set of sessions, we discuss the importance of setting goals before collecting and massaging data. Right now it's about not breaking the capacity of the healthcare system, but there are a number of other important things to optimize on as well. If you want to watch the full video, click here If you want smaller snippets, click on one of the topics below:
I think I speak for all who knew you. You have been greatly missed and we are all still hurting without your warm spirit. You lit up every room that you entered because of your positive spirit and attitude. People always loved when you showed up because you were so full of fun and surprises. We never knew what you would say or do, except when it came to having compassion for others. You loved hard and you were a front seat participant in life. We all miss you for sure.
You sang your way through life's trials and entertained us all. You loved "Pink" with all your being
Your beauty started in your heart and shone through often
The fun started early and you kept it going to the end
You so loved your family starting with your twin brother
The rest of the kids enjoyed your spunk as well. Nobody treated her grandparents better
While you were a storming jock that loved soccer, you cleaned up well
You loved all animals, but you had a special love for dolphins
We will all continue on without you, but we know you are watching and near. I hope you like the collage I made to hang on the wall of our home to remember you along with the pictures nearby. It's "Pink" and some pink dolphins to combine two of your many loves.
MISS YA GIRL !!!!
Family and friends in glory today especially Dad, Andy and Beth Sinur.
It appears that the days of hype-hopping for organizations
that want to make digital progress is nearing an end. The downturn that we are
facing will sober us to be diligent in what methods or technologies we chose to
reduce costs, cut time to change, and optimize revenue opportunities. It's time
to be pragmatic for the average organization and look to what popular
technologies will deliver tangible benefits quickly.
Obviously, if you are an
investor looking for new markets to make investments in, those technologies that
have the sizzle and are hot are your cup of tea. If you are an investor who
looks to ride older technologies to profit before it sunsets, your days are
going to get busier. The average organization will be looking for steady
progress towards better profitability with better customer experiences
supported by lots of cost-saving automation. This blog will identify those
newer technologies that can deliver that delicate balance.
Let’s start by looking at popular technologies by impacts
and time frames with the eye towards long term results.I've placed popular technologies on a
timeline and classified them by their biggest impact area in Figure 1. Often
these technologies start at the infrastructure level to build upon for software
vendors or organizations to build upon. When combinations of these work
together, then the packaging of development and infrastructure
technologies/methods results in business impacts.
An example would be that
Customer Excellence results in the leverage of CX, ChatBots, Omnichannel,
Journey Mining, BI, AI, Knowledge Management, CRM, Voice, Mobile, Cloud, and
APIs. Many technological influences have benefited from the evolution of
technologies over time, which you can track over the decades. Industry 4.0
would not be possible if it wasn't for bar codes, middleware, networks, DBMSs,
Process, GPS, APIs, QR Codes, IoT, Supply Chain Logistics, and Fast Data.
Figure 1 Timelines of Popular Information Technologies
While many of the established technologies have and will
continue to deliver, there is a special set of technologies that will bear the
weight of fluctuating economic and geopolitical situations. Here are my
favorites that deliver desired outcomes today and will grow well to tomorrow:
Customer Journeys for creating better customer experiences and improved touchpoints
Mining for measuring actual customer, process and resources behaviors for experience upgrades
Digital Assistants for knowledge assisted help for customers and employees
Voice / Video for making the interaction more real and possibly more entertaining
BI / AI providing analytical assists with goal-driven data/information consumption for opportunities or threats
Agile Methods for time to market delivery that leverages incremental change and adjustments
RPA for step automation of high volume, tedious, and repetitive tasks
Low-Code for time-sensitive proof of concepts, time to market delivery, and legacy replacement
Process Mining for improving processes, and locating automation opportunities
Machine Learning for identifying or automating goal, policy or rule changes
Hype hopping seems to usually only work for early investors or
organizations that are the cash cows who love to find the next big thing. The
rest of us will want sure things that deliver short term results while growing
to a longer-term set of desired outcomes. It is time to carefully map our
digital plans with a practical and experienced eye while striking a balance
between short term CPA mentality and the vision of the executive management
team. I hope the above figure 1 can help with that effort.
A special thanks to Craig Hayenga, my rocket scientist and software pro friend/neighbor who reviewed figure 1 and gave me ideas or corrections for this
We have been hearing all kinds of stories in and around AI. I have tried to gather some real-world case studies to show what works today. While AI is early in its delivery cycle, there are some encouraging and practical case studies to learn from as we build impressive outcomes with AI combined with a good number of parallel methods and technologies. Here are five pragmatic uses of AI. If you want to watch the full video, click here If you want smaller video snippets, see the list below.
In a rapidly changing
world, greater demands are put on organizations to stay agile and react
swiftly. Yet many are struggling to achieve this when using outdated tools and
techniques. Leading organizations are dramatically shrinking the time it takes
to discover and diagnose business problems, design and implement solutions and
continuously optimize processes by leveraging process modeling.
Few organizations are
as large and complex as the United Kingdom’s National Health Service. In a
recent project, Process modeling was used to help facilitate a series of future
state design workshops for mental health services in South London. This group
of hospital trusts and partnerships were competing against each other for bed
spaces across the UK. The result was juvenile patients being sent to hospitals
many hundreds of miles away from home at the very time they most needed to be
Process mapping and
analysis solutions are often used by consultancies and internal operational
teams to deliver rapid transformational change. One Solution Consultant at an
Intelligent Automation provider recently stated that “Process modeling helps us
get to 80% of the answer in a fraction of the time it used to take us. Now we
start providing value to the client right there in the very first meeting!”
Process workshops were used to challenge the teams to think about how things
worked and who was accountable for it, all captured live in a modeling
capability. This meant the participants felt they had contributed to something
tangible before they left each session. In fact the teams immediately started
putting many of these new work practices in place while still in the design
phase. The need for lengthy write-ups and analysis of workshop outputs was
almost completely eliminated. They were
literally transforming the organization at the speed of conversation.
The result of the project saw hospital stays outside the local
area drop by 75% against the baseline year. Across the partnerships, the
hospital beds total capacity used by local children increased from 52% to 90%
and there was an underspend of the budget of 12%.
While this example shows the power of live process mapping and analysis
the product also includes modules for teams that specialize in specific areas
such as; Risk Analysis, Org Design, Target Operating Models, DevOps, Lean and
Robotic Process Automation (RPA). The RPA Analysis module, for example, is used
by RPA consultancies and internal teams to build a holistic process model,
rapidly identify suitable candidates for automation and automatically generate
a business case.
In almost all cases users report a considerable reduction in the time
it takes to make key decisions and this results in higher levels of engagement
and better customer experience by leveraging process models. While this might
seem obvious, process modeling will be a key competency in transformations while seriously involved with cost savings along the way.