Application Performance Management Is Critical To Business Success

| August 21, 2017

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We have entered the “age of the customer,” an era in which the best approach for a company to build a sustainable competitive advantage is to become customer-obsessed. The catalyst for success will be how businesses utilize increasingly innovative technology-based business services to engage external customers and enhance internal workforce productivity. All survey respondents clearly understood the definition of IT monitoring technologies and had partial or final decision making authority for these solutions. The study captured insight into the benefits and challenges with today’s IT monitoring solutions as well as the types of monitoring features that will help them meet application and performance and availability expectations. Results from the custom survey were supplemented with Forrester’s market data related to this topic.

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OTHER ARTICLES

AI: Finding the Fraud Needle in the Big Data Haystack

Article | February 24, 2020

With fraud losses accounting for about 3% of the nation’s overall health care spending each year, pharmacy benefit management firms would be wise to seize the opportunity to battle endemic fraud, waste, and abuse (FWA). The upside can be significant, according to the National Health Care Anti-Fraud Association, which estimates annual losses at $68 billion nationally. While the savings are potentially huge, identifying instances of FWA hiding in the massive data volumes generated by prescribing, dispensing, and covering medicines is no easy feat.

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UNSUPERVISED MACHINE LEARNING TO IMPROVE DATA QUALITY

Article | August 3, 2020

When preparing data, I often go through many different approaches to reach a level of quality of data that can provide accurate results. In this article, I describe how unsupervised ML can help in data preparation for machine learning projects and how it helps to get more accurate business insights.What’s Wrong with Traditional Data Preparation Approaches?For accurate predictions, the data must not only be properly labeled, de-deputed, broad, consistent, etc. The point is that the machine learning model should process the “right” data. It is not entirely clear what are the criteria of the “right” data.

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CAN AI REPLACE ‘GUT FEELING’?

Article | June 2, 2021

Artificial Intelligence is empowering business leaders to make better, data-driven, and insightful decisions. It has undergone several evolutions since it burst into the business scene in the 1950s, to the point where several thinkers have already painted a machine that replaces human scenarios for the future. Our view on the future of work has evolved into a zero-sum game, where the result is an either-or. In my opinion, the view that AI will play a dominant role in the workplace is a little extreme. The fundamental assumption around AI replacing human workers is that humans and machines have the same characteristic. Totally untrue!. AI-based systems may be fast, consistently accurate, and rational, but they are not intuitive, emotional or culturally sensitive. Humans possess these qualities in abundance, and it is one of the reasons why we continue to surprise the world with our advancements. Intuition is the Mother of Innovation If we are living comfortable lives today, it’s because some business leaders chose their gut feeling over data analytics on numerous occasions. Some historical examples have been: 1: Henry Ford, facing falling demand for his cars and high worker turnover in 1914, doubled his employees’ wages, and it paid off. 2: Bill Allen was the CEO of Boeing in the 1950s, a company that manufactured planes for the defence industry. One day, he woke up to the idea of building commercial jets for a sector that was non-existent – civilian air travel. Allen convinced his board to risk $16 million on a new transcontinental airliner, the 707. The move transformed Boeing and air travel. 3: Travis Kalanick faced serious pushback when Uber instituted surge pricing. His move seemed to anger and alienate everyone. Travis stayed the course, and Uber modified its surge policy whenever appropriate. Now, dynamic pricing is an accepted aspect of this business and many others. So the question is, should a competent professional trust their gut feeling or make data-driven decisions? DATA V/S GUT Top professionals have repeatedly confirmed that gut feeling is one of the main reasons for their success. Leadership often gets associated with quick responses in unprecedented situations and lateral thinking. Experienced leaders are not only fearless about their instincts but are also proficient at making others feel confident in their judgment. Also, going with our instinct can help us make decisions quickly and more accurately since we tend to make choices based on experiences, values, and compassion. Malcolm Gladwell calls this ‘thin slicing’ in his book, “Blink”. Thin-slicing is a cognitive manoeuvre that involves taking a narrow slice of data, what you see at a glance, and letting your intuition do the work for you. However, he does warn that some decisions are exempt from this rule; it only applies to areas where you already have significant expertise. Artificial Intelligence and machine learning can support leaders to see complex patterns that can lead to new understanding in this fast-moving, digital era. The contention is that ‘human gut’ feeling can go hand in hand with AI – each supporting the other to achieve balanced outcomes. A Joint Venture Between Head and Heart Many see AI as an aid to human intelligence, not a replacement. To be one-step ahead in the AI era, professionals must learn to balance human and machine thinking. Organizations will have to showcase the ability to use the correct information at the right time and take action. It’s about using your instinct to take advantage of data and transforming that information into timely business decisions. AI is not yet ready to replace the human brain, but it has matured into an effective co-worker. Will intelligent machines replace human workers sometime soon? I guess not. Both have different abilities and strengths. The more important question is: Can human intelligence combine with AI to produce something experts are calling augmented intelligence? Augmented intelligence is collaborative, and at the same time, it represents a collaborative effort in the service of the human race. Figuring out how to blend the right mix with the best of data-driven deliberation and instinctive judgment could be one of the most significant challenges of our time.Enable GingerCannot connect to Ginger Check your internet connection or reload the browserDisable in this text fieldRephraseRephrase current sentenceEdit in Ginger×

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From In-Person to Virtual: Remotely Onboarding New SDRs

Article | July 31, 2020

In the year and a half that I’ve been an SDR team lead at Outreach, I’ve onboarded more than 90 SDRs across 13 different hiring classes. But since sheltering in place began, I’ve had to onboard 2 classes remotely, and this looks like our new normal for the time being.While it’s not an easy endeavor, the good news is that once you onboard a team remotely, it becomes much easier the next time, and the time after that. The even better news is that you can use the lessons I learned to create your own remote onboarding program and tailor it to your needs.

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Spotlight

Magic Hat Consulting

The team brings expertise across a variety of delivery frameworks, real world and industry experiences, and a passion for best practices (Lean Six Sigma, PMBOK, Agile, RUP, BABOK, etc.). We deliver optimal solutions tailored for your environment. Experience the Magic that proves out our reputation, engagement model and most importantly achieving results you are looking for.

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