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I worry about data’s last-mile gap a lot. As a lover of data-influenced decision making, perhaps you worry as well. A lot of hard work has gone into collecting the requirements and implementation. An additional massive investment was made in the effort to perform ninja like analysis. The end result was a collection trends and insights. The last-mile gap is the distance between your trends and getting an influential company leader to take action.
Transferrable skills are a core set of skills and abilities, which can be applied to other jobs and industries. Though most examples you will see are related to soft skills like communication, listening, leadership, etc, transferrable skills extend beyond these and it’s extremely important to identify them when thinking of a career change or advancement.
In most enterprises, data access is a fait accompli: 72% of global data and analytics decision makers say that they can access the data they need to obtain insights in a timely manner. However, even the most modern BI tools that make data more accessible still require significant subject matter expertise to find the right […].
March 16, 2018 is the 25th anniversary of the Db2 relational database product on Linux UNIX and Windows. Over the past 25 years, this team has built the Db2 brand for the distributed product, complementing IBM’s Db2 mainframe offering and creating a market force.
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.
It’s no secret that evolution drives Formula One racing. Each season, teams work to improve safety and energy consumption with the goal of giving fans a great, competitive show with a level playing field. The crux and excitement of F1 racing is for teams to expect the unexpected. Whether it’s weather conditions or a pitfall of an opponent, teams need to be prepared to adapt to changing conditions — even the most minor of changes can have the greatest impact.
The ability of an excel novice (i.e. me) to use a pivot table is basically naught. My ability to manipulate data does not exist, and yet I work for one of the most forward-thinking data presentation companies! Nevermind why I was hired, I quickly learned how to use a Juicebox application because Juicebox is designed with the everyday end user in mind.
I have learned many valuable life lessons coaching kids’ soccer. Like the time my team of 10-year-old boys lost a game 12-0 and I tried to give one of my inspirational after-game pep talks. The players felt down, I felt down and as I tried to tell them the score was not a reflection of the effort they put in, one of the players piped up and said, “Coach, you know only the losing team learns from the game”.
I have learned many valuable life lessons coaching kids’ soccer. Like the time my team of 10-year-old boys lost a game 12-0 and I tried to give one of my inspirational after-game pep talks. The players felt down, I felt down and as I tried to tell them the score was not a reflection of the effort they put in, one of the players piped up and said, “Coach, you know only the losing team learns from the game”.
We typically think of quantitative scales as linear, with equal quantities from one labeled value to the next. For example, a quantitative scale ranging from 0 to 1000 might be subdivided into equal intervals of 100 each. Linear scales seem natural to us. If we took a car trip of 1000 miles, we might imagine that distance as subdivided into ten 100 mile segments.
by DANIEL PERCIVAL Randomized experiments are invaluable in making product decisions, including on mobile apps. But what if users don't immediately uptake the new experimental version? What if their uptake rate is not uniform? We'd like to be able to make decisions without having to wait for the long tail of users to experience the treatment to which they have been assigned.
For decades, a company’s database usually had a single job: operating as either an operational — also known as transactional — database or acting as a data warehouse. It was also typically deployed in a single location: on premises. Today, companies not only want more from their databases, but also expect greater flexibility concerning where they are located and how they consume data management resources.
Ladies and Gentlemen, we have a new buzz word for 2018: Operationalization ! I attended this year’s edition of Strata Data show last week in San Jose. Last year when I attended the show, it was still called Strata Hadoop. Interestingly, if last year many companies were trying to distance themselves from Hadoop, this year I witnessed outright hostility towards it.
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
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Big data can drive your company to success, but first you’ll need to deal with 7 major big data challenges. Find out what they are and how to solve them.
In statistics, what we often identify as randomness in data is not actually random. Bear in mind, I am not talking about randomly generated numbers or random samples. Instead, I am referring to events about which data has been recorded. We learn of these events when we examine the data. We refer to an event as random when it is not associated with a discernible pattern or cause.
For many in the industry, Ash Gupta is seen as being the father of data-driven risk analysis, and his efforts have contributed to the increased usage of data and analytics in financial services
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.
Think 2018 is in full swing. We’re inspired hearing from leaders across industries using analytics to transform their business. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. Here are some highlights from Wednesday at Think.
If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. Banking, transportation, healthcare, retail, and real estate, all have seen the emergence of new business models fundamentally changing how customers use their services. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.
A post I’ve written on applying some software engineering best practices to data science projects. Data for Breakfast. Most data scientists have to write code to analyze data or build products. While coding, data scientists act as software engineers. Adopting best practices from software engineering is key to ensuring the correctness, reproducibility, and maintainability of data science projects.
IoT generates volumes of big data which can be applicable to achieve progress in a number of sectors. However, there are specific features in IoT big data collecting, processing and applying which need to be considered in IoT development.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Need Analytics for Business Users AND Data Scientists? No Problem! Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff? That may seem like a tall order but with the right business intelligence software, you can provide predictive analytics for business users, including assisted predictive modeling that walks users through the analytical process and allows them to achieve the best
Cyber attackers have become adept and hyper-active in using SSL for malevolent purposes. This blog covers the biannual analysis of SSL trends conducted by Zscaler’s Threatlabz, which found that the number of SSL encrypted messages that contained advanced threats continued to rise in 2017.
Hard to believe we've arrived at the last day of Think 2018. From keynotes to panels, informal collaborations and learning sessions, we've witnessed first-hand the excitement that conversations about data and analytics bring to business.
The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. That’s what Cloudera SDX (Shared Data Experience) enables for our customers and why we’re so excited to introduce it today for Cloudera Altus.
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
One of the largest healthcare IT shows, HIMSS 2018 wrapped up in Las Vegas back in the first week of March and as expected over 1300 companies exhibited in the areas such as cloud computing, artificial intelligence, clinical workflows, and interoperability.
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ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
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