Showing posts with label automation. Show all posts
Showing posts with label automation. Show all posts

AI, Eldercare and Innovation with TCS Expert Ved Sen

In this episode, my long time friend Ved Sen joins to talk about AI, the future of jobs, robots and Eldercare, building organizational innovation, AI’s impact on software development lifecycles, and much more.   Ved is the Head of Innovation, TCS UK & Ireland, and brings a wealth of knowledge and experience to the show today!  Enjoy!


*I use generative AI to assist in all my work.
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Kevin Benedict
Futurist at TCS
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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Mastering the Art of Decision-Making:Navigating Complexity and Speed in Modern Leadership

In today's rapidly changing leadership landscape, the ability to understand and execute good decisions quickly has evolved from a skill to a critical necessity. Leaders are now compelled to adopt a formalized approach to decision-making, anchored in an efficiently optimized information logistics system. This system is essential for the swift flow of vital information - encompassing its capture, transmission, analysis, and reporting. Any hindrance in this flow can significantly impede a leader's ability to make timely decisions and act effectively, crucial components of the decision-action loop.

The core of decision-making is a three-step process: comprehending the situation, making an informed decision, and executing an action that leads to the desired outcome. The emphasis on "effect" here is crucial. It signifies the variety of tactics that can achieve the same goal. For example, in home security, a dog's bark might be as effective as its bite in warding off intruders - both strategies aiming to secure the home.

John Boyd, a renowned military strategist, introduced an expansion to this process with the OODA loop - Observe, Orient, Decide, and Act. Boyd's inclusion of "observe" highlights the importance of monitoring the outcomes of one's actions and quickly adapting to meet objectives. This becomes especially significant in situations where decisions are not clear-cut but surrounded by ambiguity and complexity. In such environments, initial insights, decisions, or actions are seldom perfect; instead, the focus is on the speed of iterating through these loops, outpacing the competition.

This principle of rapid adaptation is not confined to military strategy but is equally applicable in business, sports, and other domains. Despite thorough planning, the ability to swiftly adjust to changing realities is key. In today's competitive landscape, the ability to make quick decisions and actions is increasingly crucial, a concept that has permeated various sectors including marketing, manufacturing, logistics, and supply chains.

In his book "The Kill Chain," Christian Brose explores decision-making in combat - a high-stress, emotionally intense environment. He argues that decision-making is inherently sequential and must follow a correct order to be effective. Acting out of sequence, such as taking action before fully understanding or deciding, leads to inefficiency. Successfully completing this sequence is termed "closing the kill chain."

On the flip side, "breaking the kill chain" refers to the tactics used by adversaries to disrupt their opponents' decision-action loops. These include disinformation, attacks on communication systems, and psychological operations, all aimed at confusing the opponent and impairing their decision-making and action capabilities.

The strategic efforts in military contexts to disrupt decision-making processes highlight their vital importance in achieving objectives. However, the growing complexity and pace of decision-making are pushing the boundaries of human capabilities, suggesting a near future where machines might play a larger role in these processes. This anticipated shift, surpassing human limitations, promises to redefine the nature of competition and decision-making.

As a futurist who values historical insights, observing how strategies and decision-making paradigms have transformed in the age of technological progress is intriguing. These developments provide valuable perspectives on how leaders can adapt and excel in an increasingly intricate and fast-paced world.

*I use generative AI to assist in all my work.
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Kevin Benedict
Futurist at TCS
View my profile on LinkedIn
Follow me on Twitter @krbenedict
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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Transferring Human Vulnerabilities to Artificial Intelligence

I have written a series of articles about the future of information, truth and influence.  These articles explore the human vulnerabilities that are exploited in social media, and in combination with other traditional forms of media. I also explore the concept of social engineering and information operations where professional marketers, military and political strategist use the way our brain works to influence us.  In this article we explore how our brains and their instinctual and learned biases can cause us problems when combined with artificial intelligence and automation.

In the revealing new book, The Loop, by NBC News technology correspondent, Jacob Ward, he shares how we can cause ourselves harm by letting our unconscious, evolutionary instincts and biases shape our automated future.  He warns that the real danger of artificial intelligence is that it is informed by and learns from how our human brains work, and our human brains are constantly making instant and unthinking decisions using instinctual and learned biases, short-cuts and hidden processes.  These decision-making tendencies protected humans from predators, marauding hordes and other dangers throughout history, but today we are often incorporating these same instincts into the automated systems that are increasingly making decisions for us today.  The results are leading us to some unintended consequences.

The Next Big Think Podcast: Why Industry 4.0 is About Industrial Automation

Our guest in today's podcast is Daniel Raj David.  He figured out as a student engineer in university that asset monitoring and maintenance, especially in legacy-led industries like oil and gas, was complicated. So, he and a bunch of friends devised a plan to make it simpler.

Daniel Raj David is the co-founder and CEO of startup Detect Technologies, a company that is part of TCS' COIN™ Accelerator program. Detect Technologies focuses on industrial AI and SaaS, and is reimagining global industrial productivity. In this episode of The Next Big Think!, we delve into Industry 4.0. Daniel demystifies legacy transformation in industries like oil and energy, construction, and manufacturing. The conversation also explores how technology’s primary role is to digitize, de-risk, and automate business. Listen in to know more about how AI, IoT, drones, and ML are freeing up human capital to think, ideate, and design, and why ‘the next big think’ is industrial automation.

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Kevin Benedict
Partner | Futurist at TCS
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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Speed and a Doctrine for the Future

Throughout my career in the high tech industry I have often heard the business maxim, “First, develop a business strategy and then find the technology to support it.” My experience over the years, however, has led me to believe this maxim is misguided.   Let me explain by asking several questions.

What came first digital commerce or the Internet?  Mobile payments or wireless networks?  Commercial airline travel or the airplane, knights in shiny armour being used as shock troops, or stirrups?  Trivia answer: Stirrups!  Technology has a long history of appearing first, and then strategies are formed later.

What we are learning is if our outdated business strategies are dictating the speed of our technology adoptions, then we are in big trouble! The world is moving much too fast and we must align the tempo of our business strategy evolution with the pace of technology innovations and our customer adoptions of those technologies.  We need to invest in future oriented thinking and the exploration of how new technologies and trends will alter the manner in which we interact with customers and operate our businesses.
"Strategy is the art of making use of time and space. I am less concerned about the latter than the former. Space we can recover, lost time never." -- Napoleon Bonaparte

Must We be Good to Have a Good Future?

The renowned Futurist Gerd Leonhard, in this short and impactful video, says in order to create a good future - we must be good.  He suggests four focus areas for the future: people, prosperity, purpose and planet.  If you agree with Gerd, then the first question is "What is good?  Secondly, "How do we become good?"  And, thirdly, "How do we use that good to create the future we all want?"

A satisfying definition of "good" for me is something that promotes happiness, community well-being, is loving, pleasing, admirable, kind, desirable and virtuous.  Once we figure out how to become these things ourselves, we must embed them in our technology in the form of AI, to help us shape a "good" future.

As more of our daily activities and interactions involve artificial intelligence, we will want our interfaces and communications with AI (digital assistants, chatbots and robots) to feel and be "good."  We will want AI to make accurate, consistent and "good" decisions, and then to execute "good" actions.  Training AI to be good and act good is a real challenge.  These kinds of philosophical, moral and inspired traits and actions are not AI's strong suite.  Now that I am writing this I realize they aren't particularly the strong suite of humans either.

I can imagine a scenario where an algorithm processes data that suggests three equally logical actions.  The final choice, however, is determined by which option is most heavily weighted to the "good."  Which one of us is going to determine the "good" weight?

The obvious problem with this scenario is us humans can't agree on what is good, or to what degree it is good.  Feeding and sheltering homeless families and giving them medical assistance is considered good by some, and bad by others.  Saving millions of lives by vaccinating people is considered good by some and bad by others.

Our artificial intelligence powered digital assistants, chatbot and robots are all awaiting their instructions about how they can help create a "good" future.  What should I tell them?  

Watch the latest on Oracle's digital assistants, chatbots and artificial intelligence here in my interview with Oracle expert Suhas Uliyar.

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Kevin Benedict
Partner | Futurist at TCS
View my profile on LinkedIn
Follow me on Twitter @krbenedict
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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Will You Trust a Robot?

Jeff Bezos and team launched 66.5 miles into suborbital space on a rocket ship with no pilot this week.  The rocket ship operated autonomously using sensors and artificial intelligence.  That takes trust. They had to believe in the science and that the AI system would get them safely there and back.  They had to have trust in the scientists, programmers, engineers, physicists and chemists.  They had to have trust in the math and physics.  They had to trust the coding and formulas used in the algorithms.  They had to trust in the data coming from the sensors.  Although there were likely many failures along the way, they trusted the process - the scientific method.

The Latest Developments in Artificial Intelligence and Digital Assistants at Oracle

My brilliant friend Suhas Uliyar is Oracle's VP of Digital Assistants, AI & Integration.  We connected on Zoom last week where he shared the latest developments in AI, and the progress his team is making in creating digital assistants that understand sentiment, swear words and soon have reasoning powers.  




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Kevin Benedict
Partner | Futurist at TCS
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Join the Linkedin Group Digital Intelligence

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

The Future of Managers

Managers must explain a lot of things.  Early in my career I managed a team of six IT experts responsible for EDI and other forms of business-to-business data exchanges with suppliers.  Our data, from planning and manufacturing systems, was shared with our suppliers' to support the just-in-time manufacturing of electronics.  Our senior leadership would often ask us to defend our data, yet we often struggled to explain where it originated from or how the numbers were generated.  The data we were using came from a figurative "black box."  We received it without explanation.  That of course was an untenable position for a manager.

In the near future managers will increasingly depend on artificial intelligence for assistance, and hopefully it will be explainable AI to avoid the challenges I faced.  Explainable AI (XAI) is artificial intelligence in which the results, and the logic and data used, can be understood by humans.  Understanding how the system works is critical to establishing trust.  

As AI becomes integrated into more and more businesses and IT systems, the role it plays will become ever more critical.  Any questions about why an AI system made a particular decision or took an action must be able to be quickly deciphered, explained and adjusted if necessary.  Having trust in the AI system is a critical first step for managers to open up and use it for an expanding list of tasks.

AI systems, implemented correctly can be a manager's right hand.  Common benefits of AI are:
  • Reduced human errors
  • Is available 24x7x365
  • Can complete mundane, repetitive and routine administrative work without distraction
  • Can scale
  • Can make faster decisions, and take faster actions based upon established business processes 
  • Can find solutions and innovations faster by analyzing patterns within oceans of data
In a report by HBR, it was found that 54% of a manager's time is usually spent on administrative tasks - tasks well suited for AI assistance.  If AI can take over these tasks it could free up managers to spend more time on the things humans are best at including applying their knowledge of organizational history and culture, empathy, ethical reflection, judgement, creativity, experiments, innovation, strategy, discretion, experience and improvisation. 

In the HBR report there are five pieces of advice for managers of the future:
  1. Leave administration to AI
  2. Focus on judgement work
  3. Treat intelligent machines/agents as colleagues
  4. Work like a designer
  5. Develop your social skills and networks
I can imagine a scenario in the near future where there will be an organizational chart of robots, robot workers, managers and robot executives.  Each using XAI to explain how they are managing the robots, tasks and operations under their responsibility.  I guess that means we humans will need to figure that out first.

Read more on AI here:
Kevin Benedict
Partner | Futurist at TCS
View my profile on LinkedIn
Follow me on Twitter @krbenedict
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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Redemptive AI, Biases and the American Dream

The American Dream is the national ethos of the United States - a set of ideals which includes the opportunity for prosperity, success and access to upward social mobility for individuals and their families.  The last thing any of us want is to invent and deploy technologies that are barriers to this dream.

Artificial intelligence (AI), configured wrongly, can become a barrier.  Many companies today are now using AI to interview candidates, interpret their potential, and rank them from best to worst.  How emotive a person's face muscles are, their use of the english language, and the sophistication of their vocabulary are now all being used to select or reject job candidates.

One can only imagine how difficult AI interviews are for immigrants and refugees looking for their first big opportunity.  Facial expressions are often influenced by culture.  English being a second, third or fourth language could present all kinds of barriers to getting past the AI gatekeepers and into the land of opportunity. 

Future of Warfare and Its Gamification

Technology is giving life the potential to flourish like never before - or to self destruct. ~ Future of Life Institute 
In the future, warfare will be fought increasingly by engineers, software developers, scientists, accountants and politicians, which is a historical anomaly and worth some consideration.

Historically war was conducted to compel a positive political outcome for the victor.  This was accomplished by diminishing an adversaries will, or resolve to fight by making them suffer.  Once an adversary suffered enough and they lost their will to continue - peace was achieved on the terms of the victor.  Here is where the entire twisted logic of war and violence breaks down.  In the future, warfare is likely to be increasingly fought between machines that don't suffer.  They just do it - as Nike advocated.

Robots that Create Jobs and Construct Apartment Buildings

An Idaho company, Autovol Volumetric Modular, is building apartments inside a Nampa, Idaho factory and shipping the modular components to the San Jose, CA area for installation.  In a 400,000 square foot manufacturing space they are maximizing the use of robots and automation to do the heavy lifting and to ensure precision manufacturing.  The value according to CEO Rick Murdock, is saving 20% on costs and 40% on time.  "We’ll build it here (in Idaho), ship it and save the project about $100 a square foot.”

What a great story!  Idaho, known worldwide for their farming of "famous potatoes," is innovating and shipping their finished products to Silicon Valley, and none too soon.  The oldest archaeological evidence of house construction is estimated to be around 1.8 million years old.  It's about time for innovation! 

How do they designate what work the humans do, and what work the robots do?  Robots are used to build walls, floors and ceilings and to assemble the modules, while the humans install wiring, plumbing and fixtures, perform inspections and write the software programs that control the robots.

By innovating with the use of automation and robots, Autovol Volumetric Modular anticipates having over 300 employees in Idaho by next year.  This is an example of robots helping to create jobs - not taking them away.


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Kevin Benedict
Partner | Futurist | Leadership Strategies at TCS
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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Facebook's Infodemic on the Pandemic

I am a long-time technology enthusiast, analyst and futurist, and love to discuss and write about the positive impact emerging technologies offer humanity.  That said, we can’t be blind to the negative impacts as well.  Facebook’s algorithms are increasingly showing up as the source and amplifer of many false and misleading postings that are widely distributed and promoted causing serious consequences for us all.  The sheer volume of false information being distributed today by Facebook algorithms is overwhelming the truth.

A recent research paper by the organization Avaaz titled Facebook's Algorithm: A Major Threat to Public Health, found that health misinformation spreading networks on Facebook appear to have outpaced authoritative health websites, despite the platform’s declared aggressive efforts to moderate and downgrade health misinformation and boost authoritative sources.  This finding suggests that "Facebook’s moderation tactics are not keeping up with the amplification Facebook’s own algorithm provides to health misinformation content and those spreading it.” In other words, Facebook’s amplification algorithm robots are battling and winning over their moderation robots that are trying to protect truth.  This is an important research finding, because when false information overwhelms truth on Facebook people’s lives are at risk.

This year in the month of April 2020, 82 websites, a relatively small number, that were flagged by NewsGuard for repeatedly sharing false information, received over 460 million estimated views on Facebook.  That is a massive amount of influence from websites already identified as regularly sharing false information.

The total estimate for the past 12 months is that false health information on Facebook was viewed 3.8 billion times across the five countries in the study — the United States, the UK, France, Germany, and Italy.  When false health related information is viewed that many times, a lot of people are going to believe it – with serious consequences.

I don’t believe Facebook is purposely trying to destroy the world, as they do need living, breathing, humans as users and customers. I just think they have created a Frankenstein monster and no longer have full control over it. Here is what Facebook says, “False news is bad for people and bad for Facebook. We’re making significant investments to stop it from spreading and to promote high-quality journalism and news literacy....our adversaries are going to keep trying to get around us. We need to stay ahead of them, and we can’t do this alone.” I just hope they realize that in a lot of documented cases, their adversaries are their own internal amplification robots and algorithms.

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Kevin Benedict
Partner | Futurist | Leadership Strategies at TCS
View my profile on LinkedIn
Follow me on Twitter @krbenedict
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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Digital Anthropology, Covid-19 and the Future of Work

In this interview we discuss Covid-19's impact on businesses, digital transformation, the impact of automation on humans and the second digital revolution with entrepreneur and future of work expert, Richard Skellett.  Richard is opinionated and calls the displacement of humans with robots and automation immoral.  Join us for a thought provoking exploration of the future of work.

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Kevin Benedict
Partner | Futurist | Leadership Strategies at TCS
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Join the Linkedin Group Digital Intelligence

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Digital Transformation for the Greater Good

Adam Smith wrote about rational self-interest, which posits we work for the greater good when it benefits ourselves.  But what is the greater good, and how does digital transformation impact it?

I believe most of us would agree that replacing large numbers of humans with machines that result in wide scale unemployment and suffering is not in our rational self-interest or the greater good. Having massive numbers of jobs terminated by the Terminator does not result in a safer, healthier, happier civilization or vibrant economy.  So what is the greater good that we, out of rational self-interest, can strive for?

Just because something is possible, and VCs will fund it, does not mean it supports the greater good. Technology that takes all meaningful jobs away from humans resulting in their suffering will soon become a target for their wrath.  I can already imagine brands placing badges on their products that certify "Human-Made" to gain a competitive advantage over machine-made production.

At the macro level, if businesses increasingly replace human workers with machines, they will soon have difficulty finding employed customers that can pay for their products.  At what point do businesses seek to expand employment opportunities out of a rational self-interest rather than decrease them through automation? Is it even realistic to expect profit maximizing businesses to seek the greater good of the societies they operate in?  We must seriously ponder these issues as gathered humans.

I think there is value in playing out future scenarios:
  • In the short-term, manufacturers want to automate faster than their competition in order to gain economic advantages while there are sufficient numbers of consumers employed elsewhere to provide a market for their goods.
  • In the mid-term, entire industries will automate and terminate large numbers of jobs, but hope other, slower-to-automate industries will employ their customer base so there is money to spend. 
  • In the long-term, however, when digital transformation has swept through all industries, who is left to employ the consumers and provide them with living wages so goods can be purchased?
As jobs that require little training or education diminish in numbers, we have two choices, 1) Increase education levels to equip humans for employment in the digital future, or 2) subsidize and fund employment opportunities that benefit the greater good, so there are sufficient incomes available to support a healthy economy.

There are plenty of problems left on this planet to be solved, and solving these problems could employ many. Today, however, not all of these problems have economic and greater good values assigned to them. Fresh water sources, clean air, litter removal, forestation, sustainable farming, peace, better health and wellness, improved education, beautification of public spaces, etc.  All of these areas have the potential to generate enormous benefits for the greater good, but they need society to place a value on them and fund employment in these areas which are not always profit generating but support the greater good.

A vibrant economy, and a safe and secure society depends on healthy employment numbers, adequate wages, property ownership, human and property rights, hope, peace and purpose. Digital transformation must add to the greater good, or it risks accelerating a break down in our society and economy.

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Kevin Benedict
Futurist/Founder
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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

A Digital Leader's Playbook

Digital Strategies
Winners know how to win. When competition, data and/or rules change, so do their game plans.  Recently while watching NFL football, I was intrigued by a discussion between analyst about how the best coaches can change their strategies mid-game based on new and different data.  Some coaches are able to pivot, others can't.  

What follows is a list of key strategies, concepts and mindsets that will help your enterprise win:

Hiding from Karma in an AI World

Recently an artificial intelligence system in China successfully passed a medical exam for the first time.  This is a significant advance in healthcare.  Potentially AI can soon provide high quality medical diagnoses remotely anywhere around the world.   Another significant step in AI and robotics happen a couple of years ago in Saudi Arabia where they granted citizenship to a robot named Sophia.  I wonder if that robot will be forced to wear a burka?  With all these rapid advancements, I think it is time we explore the spiritual life of robots and artificial intelligence.

Up until recently, human programmers coded and configured algorithms, AI, automation and machine learning system and took personal responsibility for all of their own code.  Today, however, AI has escaped the confines of human oversight and has been empowered and employed to self-program, self-optimize, self-test, self-configure and self-learn.  David Gunning writes, "Continued advances [in AI] promise to produce autonomous systems that will perceive, learn, decide, and act on their own."  That's potentially a big problem for karma.

A simplistic definition of karma is a spiritual principle that teaches good actions and good intent lead to good things now and in the future, while bad actions and bad intent lead to bad things now and in the future.  What happens to a human programmer that empowers or transfers responsibility for future decisions and actions to a robot - an autonomous machine with artificial intelligence?  Will karma eventually seek out the original human programmer of the autonomous system, long since retired and fishing on a mountain lake to extract retribution, or direct bad karma to the machine?  It's a problem.

A Deep Dive into the State of Video and Web Conferencing with Zoom President Dave Berman

In this episode we review the history of web and video conferencing with the president of Zoom, Dave Berman.  We explore how the new generation impacts management, sales, marketing, internal and external communications, and why it should be an important component of every company’s digital transformation strategy.



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Kevin Benedict
SVP Solutions Strategy, Regalix Inc.
Website Regalix Inc.
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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Insights and Strategy from SAP's VP of Web Marketing Gail Moody-Byrd

Kevin Benedict and Gail Moody-Byrd
Kevin: Thanks for joining us today Gail!  Let’s talk about your title, Vice President and Head of Web Marketing at SAP.  What do you get to do in this role?

Gail: It’s really an interesting new role. It was created to do a couple of things. SAP.com, the website, is going through a transformation and we are moving from a site that largely generated awareness and shared information, to a site that drives business value. The team that works for me does a couple of things. We manage the web pages for products and industries, and now we are responsible for the performance of the website. How are the pages performing? How are they connecting with our visitors? We are making sure that every interaction is a good one.

We are giving website visitors a lot of opportunities, through chat and other things, to engage with the site.  We are also making sure that the hand-off from the website to the sales team is clean, clear and effective, and the leads they are getting are qualified and really interested. It’s an exciting time.

Kevin: Is the relationship between marketing and sales changing today?

Gail: Yes, today we are now part of the sales engine and technology. They (sales) are backward integrating into us (marketing) and we’re integrating forward into the sales. We are using all the technology that the SAP C/4Hana Suite has to make sure that we’re an integral part of the sales process.

In the past, sales didn’t think that the website was really that important [to making sales]. It was more of a showcase for customer references, but not really a place to do business. We are changing that.

Digital and Marketing Leadership Series: Efrat Ravid, CMO ContentSquare

In this episode we dig deep into website analytics and customer journeys with digital marketing expert and CMO Efrat Ravid.  We explore the topics of romance in France, website habits in Germany, how to use activity-based analytics to help businesses understand exactly what content is working and effective, plus much more. This interview is valuable to any digital/website marketing leader or practitioner.  Enjoy!


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Kevin Benedict
Senior Vice President Solutions Strategy, Regalix Inc.
Website Regalix Inc.
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***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

Interviews with Kevin Benedict