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FAQs on the Call Forwarding Service for Your Business

Are you AI-First? By editor Posted October 13, 2018 In Artificial Intelligence, Digital Strategy, Technology & Design 0 An AI-First company is an enterprise that has transformed to believe and understand the incredible and disruptive potential of Artificial Intelligence. Such an enterprise not only sees the value but can see the destructive impact of being left behind. An AI-First Company understands that it might not know all the answers but realizes that it needs to seek out a path forward with AI or risk being marginalized. Key Characteristics of an AI-First Company A-First companies might not be any different from their previous form but think and act differently. Here are some key characteristics of such companies. Approach to Problems and Planning An AI-First company evolves its approach to problems. AI-First companies realize that determining the existence of a problem and selecting the most consequential problems is a function of data and analytics. An AI-First company invests in building predictive mechanisms that can signal current or upcoming problems including the severity and priority of these problems. Building these predictive mechanisms becomes the first step in determining how and when to prepare for problems or upcoming issues. In addition, these companies leverage news and information that is generated inside and outside the enterprise as it is generated and ensure that their employees and customers have access to the insights embedded in the news and information. Approach to Products and Product Development An AI-First company understands how a prediction or classification could help them deliver a better solution to a problem faced by their customers and how their existing products can be adapted or new products created that change behavior based on the predictions and classifications. Enterprises that understand the power of AI ensure that data scientists come part of the core product ideation and development team with a heavy infl

One of the key milestones on the Digital Journey starting with a Digital Strategy, Digital Transformation and then sustaining on Digital Innovation is the point where the enterprise reaches a point of data maturity powered by a single, organization wide, consistent version of the truth including the state of the customers and the state of the business and the state of the employees. This point is critical as it becomes the launchpad for several, forward looking initiatives including Artificial Intelligence, ChatBots, Blockchain etc. "Complete" A Complete version of the truth ensures that the following criteria is met: Entity Pivot The key entities that need to be tracked to generate a complete, comprehensive version of the truth are the following Employee Employees, regardless of customer facing or not, need to be understood including where they excel vs. struggle and where their struggle impact the customer experience. Key information about employees that should be tracked is what the employees are working on, how productive they are and how often they introduce delay and errors in business processes. Business Business visibility requires that the enterprise be able to track key metrics such as customer lifetime value, customer attribution, customer acquisition cost and customer satisfaction. In addition, the stage of the customer ranging from prospect to commit to paying customer to abandoned needs to be tracked. In addition, the customer's quality of service and experience needs to be tracked and understood. Customer The most critical of the three is the understanding of the customer. Customer KPIs have a direct impact on and are completely impacted by the Business and Employee KPIs. It is extremely important to understand how customers are searching for, discovering, learning, understanding, using and continuing to use the product and services delivered by the enterprise. In addition, it is important to understand what capabilities drive what kin

Ten Tips to Help You with Your Kaizen Continuous Improvement Strategy The Kaizen methodology encourages ongoing efforts to ensure continuous improvement throughout a facility. This improvement can come in many forms including waste elimination, improved efficiency, safer work environments and much more. To simply say that a facility is employing Kaizen strategies, is essentially meaningless if you don't have any concrete action items you are following. Whether you're just getting started or you are looking for ways to reinvigorate a Kaizen strategy that is not effective, the following ten tips will be very helpful. Each one can give you ideas on what you can do encourage improvement and allow that improvement to grow and expand long into the future. Tip #1 - Harness the PDCA Strategy One of the key concepts used in Kaizen is the "Plan-Do-Check-Act" strategy. This is a quality model that can be used when implementing any type of improvement in the facility. As you might expect, the PDCA strategy is a cycle of ongoing improvement that should never end. The steps are as follows: Plan - This step is where you identify an area where improvement is possible and make an initial strategy on what chance should be made to realize the desired improvements. Do - Implement the change, but only on a small scale. This may mean having one department make the change in some situations or for larger corporations, having one facility make the update. During this step it is also very important to be gathering as much data regarding the change so it can be properly evaluated. Check - Review the results of the change including the data that was collected. Looking to see if they had the desired impact or not is critical to know whether you should move forward with rolling the change out to other areas. Act - IF the data in the check step points to a success, it is time to push the change out on a wider scale. Once the change has been successfully implemented you wi

Tips & Tricks for Efficiently Tracking Lean Projects Recently, we wrote about a couple of problems facing many Lean practitioners. These were problems that hindered their learning process and often caused overconfidence. Amongst the advice to help combat these problems arose the need for detailed tracking and note taking with regards to practice and progress. Being able to accurately track not only the effects but also the process of a Lean project is critical to ongoing success, and is a key to stimulating growth amongst not only the receiving end of your project objectives, but also amongst the employees and Lean practitioners themselves. To start off, let's take a look at the current state of Lean project tracking for many Lean practitioners. A recent LinkedIn discussion posed the very question of project tracking, and sought to understand a few different distinct metrics. In addition to measuring the effectiveness of any program when it comes to completion, tracking can also be about measuring the scope of your projects, so that you can accurately project what the effects will be before you actually reach the stage at which you expect them. Part of this "scope" involves tracking exactly who is involved with your project, who is affected, and how they are progressing in their respective tasks. Where we are now First of all, it's important to evaluate the current methods that are prevalent in Lean record keeping. The LinkedIn discussion starter, self-identified as Ian R., mentions in his opening post that, when he last posed the question about a year ago, the consensus was that most practitioners were simply using excel spreadsheets for their tracking needs. While there's nothing wrong with relying on Excel for the basics, other users were quick to offer up some slicker alternatives, signaling a sharp (and welcomed, in our book) departure from some of the more basic methods. Unsurprisingly, there exist several specialist software applications whose n

Make Construction Safety a Priority Everyone knows that construction sites can be very dangerous. The more you know about the types of danger you will face, however, will help you to take steps toward keeping everyone safe. Look over the following 10 safety facts and see what you can learn about how to improve the overall safety of your facility. In addition to using this information to help you to make safety improvements, you can also show these items to the workers at any site so they can be more aware. Some of these facts may surprise people, and cause them to be more aware of their surroundings. According to OSHA, "Nearly 6.5 million people work at approximately 252,000 construction sites across the nation on any given day. The fatal injury rate for the construction industry is higher than the national average in this category for all industries." 10 Tips to Improve Construction Safety Fact #1 - Losing your Load On construction sites people use machines to lift and move all sorts of things on a regular basis. Whether it is lifting wood or metal beams, or you are digging out dirt to prepare to lay a foundation, this is an essential part of most jobs. The vast majority of times this type of activity goes very smoothly and the jobs are completed without incident. The fact is, however, that having loads come loose while in transit is actually a leading cause of injury on construction sites. You need to keep in mind that even if you don't lose the entire load, people can be severely injured from even one thing falling out of a crane or back hoe. With this in mind, people working on site need to know to stay well away from this machinery, and the machine operators need to know to avoid moving items when people are nearby. Fact #2 - Entering and Leaving Heavy Machinery Another safety issue related to working with heavy machinery is related to operators getting on and off of the rigs that they will be working on. While this is something that they of

The Adventure of Reducing Risks and Hazards in the Workplace Whenever starting a new job, it can be difficult to figure out exactly what you should be doing, and how it needs to be done. When I started working at a new facility as a safety manager, I began my first day with a meeting with the facility manager. The meeting was set up so he could tell me what was expected of me in my new role, and provide other details of the job. I was quite surprised when the meeting took less than two minutes, and the only objective I was given was to 'reduce risks and hazards in the workplace.' I asked for some clarification or guidance in what exactly he was looking for, but he simply said that I was hired to improve safety, and he was leaving the task of finding out how to do it in my hands. He gave me a sheet of paper with some information about what resources I had available, including my annual safety budget and told me to get to work right away. I should point out there that I had several years experience as a safety manager at a large company, which is why I was brought in to this new facility. The facility had recently been cited by OSHA for a variety of safety hazards, and there were even some fairly severe injuries that occurred in the previous months. The facility owners made it clear that safety was a priority for them, and they were willing to do whatever it took to pass inspections, and keep the employees safe. Planning My Safety Program While that initial meeting was unique, to say the least, I was also quite excited about the opportunity. It is quite rare that a safety manager is given such flexibility, and I wanted to make sure the manager wouldn't regret that decision. I got to work right away planning my safety improvement program. OSHA Safety Sign Guide I wanted to make some quick changes to help improve safety in the short term, and then also plan out ways to create a culture change within the facility so everyone would be more safety focused. I kne

Much has and needs to be said about an enterprise's AI strategy. Artificial Intelligence or AI is considered a fundamentally disruptive technology similar to the steam engine, electricity etc, a technology that will be pervasive and absolute in its impact on the world and its inhabitants. The ability to find hidden patterns to predict the future or detect a behavior has massive implications across the world, in every industry, sector, and domain. When faced with this realization, enterprise's can find themselves stuck, paralyzed and unsure about how to proceed. The field of AI is decades old already and the early success stories have been practicing AI for multiple years already with the tech industry leading the way. How can an enterprise that has no experience and competency in this area let alone lead the technology or even leverage it appropriately to drive business value? When developing the AI strategy, two ideas are paramount. First, this a fundamentally disruptive technology and the enterprise will need to establish it as a core competency for the foreseeable future. Not doing so will not be an option. Second, a long-term plan to success is superseded by the need to drive quick wins and small successes not only to build confidence but use real-world experience to develop and hone that skill. The Short-Term AI Strategy The short-term AI strategy should focus on driving immediate business value through enhanced customer experiences that leverage any field of AI be it machine learning, deep learning, natural language processing etc. Driving the usage and deployment of AI in front of an end user making them smarter, productive and better informed can pay rich dividends by not only helping the enterprise can real-world experience, but it can also give a perception boost to the company as being innovative and cutting edge. However, most importantly, this can highlight and promote the success and potential of AI in the enterprise and encourage a snowball eff

Enterprises across the board have a lot of untapped potential in their data. The data is not only relevant and useful within the enterprise but can be a valuable source of insights for the enterprise partners and customers. In some cases, the value of this data can be high that partners and customers are willing to pay extra to get access to this information at a certain fidelity, freshness or scope. Enterprises that do not have a clear and coherent monetization strategy are leaving money on the table. In addition, they stand to lose customers to competitors who gain the first movers advantage by addressing this market need. The Value of Data The first step in determining a monetization strategy is an audit of the enterprise data assets and a determination of the customers who are interesting and willing to pay a premium for access to this data. The Value of Data is proportional to the following: Freshness The more "fresh" a dataset is higher its value typically. This is because there is an advantage in the early visibility provided by first access to new information. 'Freshness' is defined the latency between the creation of data and the delivery of the data to the consumer. Consumers of data will pay a premium for fresh data if it fits into their decision and action strategy. Fidelity Higher the "fidelity" of data i.e. how much detail a particular data point carries also increases the value of the data in the eyes of the data consumer. Higher fidelity data offers more information and detail enabling the consumer to design highly valuable analysis that leverages the additional details offering a deeper insight into the situation at the present or historically. Raw The more "raw" a data set, higher its value as it can support a much larger set of analysis scenarios that a processed data set could support. Data sets that are aggregated, sampled, filtered or transformed can have a lower value as they can severely limit the type of analysis. Raw

One of the top reasons for digital innovation and transformation failures can be summarized as the enterprise trying to reinvent the wheel. This is the tendency of the enterprise to attempt to create technology, platforms, and applications that have already been implemented, scaled, optimized and almost perfected. This tendency almost always ends up a failed one as it does not create any net new value for the enterprise but comes with a massive opportunity cost as the enterprise spends crucial resources on reinventing the wheel than innovating for the customer. How The Wheel Is Reinvented Nontechnology enterprises can get trapped in a reinvent state where they conclude that homegrown technology is the only path towards customer and business value. This in itself is not entirely false however the type of enterprise and their decision-making process along with the capabilities they have in house have a very large impact on the success of the strategy.eRaaadada Reinventing the wheel happens when a non-tech enterprise discovers a technology trend towards much later in the hype cycle almost towards the end when the technology is hitting the mass market and decides to recreate or reinvent its own version of the technology. This is often done with the assumption that with some investment, the enterprise can have a home grown version of technology or platform that is designed specifically for its needs and is thus a better fit. However, enterprises assume that the state of the technology will remain constant and while they are attempting to home grow a version that can match the current state of the art. In reality, the state of the art shifts and the enterprise is not able to bridge the gap. Who Reinvents The Wheel Typically, technology teams often decide to go down the path of reinvention when they are allowed to make technology upgrade or technology creation decisions without business KPIs and cost constraints i.e. clear success criteria with fixed cost and clear ti

Lean Six Sigma for Non Profits We always like to hear about people applying business methodologies and mechanics in arguably unorthodox ways or markets, and today I stumbled across a LinkedIn discussion that happens to exemplify exactly that sentiment. User William Falquero seemed to be onto something interesting as he posed a question for other professionals: Could non-profit organizations benefit from Lean Six Sigma thinking? If so, how would they be implemented, what would the challenges of this sort of endeavor be? Only a few users jumped in right off the bat, but, lucky for our purposes today, they were some critical thinkers with some useful insight and examples to offer up. Today, we're going to take an in-depth look at the use of Lean and Six Sigma thinking and tools within non-profit and charity organizations. Are Charities Good Candidates for Lean? One of the first and most important things to establish when considering implementation of Lean in any company or organization is to figure out how they could benefit from the systems. In the case of charities, one user points out that room for improvement from Lean is readily apparent simply in the mindsets of the people who work at them: "The sweat and tears the non-profit workers and volunteers shed and the effort they put forward is focused on those they serve, with less thought on HOW they are served" This is what Richard Petty had to say of an organization he actually had the experience of implementing Six Sigma with. One thing he goes on to highlight and elaborate on is the fact that many volunteers and non-profit workers are so focused on those they want to help that they may get blinded as to the mechanisms that can take them there (and these are the places opportunities for improvement present themselves). Even in other more traditional workplaces, we see this sort of "tunnel vision" as fairly common: It can be hard to get workers to take a step back from the endgame results they're

Beauty-what does it mean? Taking a walk down your memory lane is something that will always yield forth-beautiful things to recall and more often than not, people tend to cherish the maiden memories of their childhood even at old age. To say the least, something beautiful is what everyone wants to have and if it happens that you already own one, it becomes a treasure you don't want to let go of no matter what come may. Well, some say beauty is an expensive problem while others say it is skin deep. However, what is perhaps known to all who adore beauty is the saying that goes, 'beauty lies in the eyes of the beholder.' Many times, people strive to achieve what they refer to as beautiful dreams. However, this is not what this post aims at exploring. Fast forward to the world of beauty that borders on the use of cosmetics and skin care. When looked at from the standpoint of a beautician, it all starts with a smooth and radiant skin. Quite often, it is said that good health equals wealth, and this is partly achieved by having a beautiful and healthy skin. The question, however, is: what does it take to be referred to as beautiful? Definitively, beauty is a noun from which the descriptive word (adjective) beautiful is crafted. Everyone out there is always concerned with their beauty, and this has a strong correlation with the skin care products they are using. However, it is imperative to also note that there is more to beauty than meets the eye. It is on this premise that many agree with the assertion that beauty is relative. In layman's language, this is to say that, what looks beautiful or attractive to you may not be attractive to another person. In terms of skin care for good-looking skin, a point of convergence is reached because everyone out there believes that there are assorted beauty products that will give you nothing but the best of skin care results. In this post, we define beauty based on skin care and aspects that support its success. He