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A story where data is the hero, followed by two mind-challenging business-shifting ideas. At a previous employer customer service on the phone was a huge part of the operation. Qualitative surveys were giving the company a read that customers were unhappy with the service being provided. As bad customer service is a massive long-term cost – and short-term pain –, it was decided that the company would undertake a serious re-training effort for all the customer service reps and with that problems
The long-term viability of email as a primary communications platform is worth reassessing due to our nation’s changing professional demographics and the increasing functionality of “smart software.
When a new technology comes along it goes through a fairly predictable process of evolution, starting with a long period where nothing much happens as the market gets to learn what it’s all about. That’s followed by an equally fallow period of early adoption then, if all goes to plan, there follows a rush of ‘me-too’ products as the market finally wakes up to the benefits and everyone tries to get in on the action.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Back when ‘retail’ meant 100 meters of shelving and one check-out counter, face-to-face retailers grew to understand their customers’ intentions, preferences, and idiosyncrasies, even when customers walked out without making a purchase. Retailers would go on to use these insights to help subsequent customer in an insightful and personal manner.
When presenting data tables, we recommend stripping away backgrounds and grids and using alignment, formatting, and whitespace to guide the eye along the rows and columns of the data. But what if you have lots of rows with many columns that stretch across a screen or page? Or perhaps you have large gaps between fields because of varying text lengths.
As a data scientist I believe that a lot of work has to be done before Classification/Regression/Clustering methods are applied to the data you get. The data which may be messy, unwieldy and big. So here are the list of algorithms that helps a data scientist to make better models using the data they have: 1. Sampling Algorithms. In case you want to work with a sample of data.
As a data scientist I believe that a lot of work has to be done before Classification/Regression/Clustering methods are applied to the data you get. The data which may be messy, unwieldy and big. So here are the list of algorithms that helps a data scientist to make better models using the data they have: 1. Sampling Algorithms. In case you want to work with a sample of data.
Never before has there been a more powerful influence on human behavior, irrespective of country or culture, than the combined effect of digital technologies.
We face a worrisome future of weak IoT devices. The makers are strongly motivated to keep the devices cheap, but flaws that cannot be fixed at scale are inevitable. The result is a network full of devices that can and will be abused.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
The video from my recent keynote on the analytic aspect of Conversion Rate Optimization is now available online. This particular keynote was geared towards a primarily non-technical audience. The post Keynote Presentation from January 19, 2017 appeared first on DSI Analytics.
For those staying close with IT trends, it is clear that converged and hyper-converged systems are and will continue to play an important role in simplifying and accelerating the building and operating of clouds
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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