Tue.Dec 06, 2022

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Gartner Market Guide to DataOps Software

DataKitchen

We are excited that Gartner released its ‘Market Guide to DataOps’ ! The document they wrote is exceptionally close to what we see in the market and what our products do ! This document is essential because buyers look to Gartner for advice on what to do and how to buy IT software. The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools.

Software 130
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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

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4 Useful Intermediate SQL Queries for Data Science

KDnuggets

SQL is the essential language for developers, engineers, and data professionals. Intermediate knowledge in SQL gives you an edge in your data science career.

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Van maker BrightDrop builds ERP and business in parallel

CIO Business Intelligence

Electric vehicles are sufficiently distinct from their gas-guzzling cousins that auto makers have the chance to toss out decades of legacy manufacturing systems. That can go for their IT infrastructure too. When General Motors named Namo Tiwari CIO of its internal startup BrightDrop, he decided to build an ERP from scratch rather than piggy-back on GM’s existing system.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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7 Essential Cheat Sheets for Data Engineering

KDnuggets

Learn about the data life cycle, PySpark, dbt, Kafka, BigQuery, Airflow, and Docker.

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A CIO’s gift guide for IT and business colleagues

CIO Business Intelligence

Welcome to the holiday season. Sure, I know the holiday season’s true start date is sometime in September, but I didn’t want to hurt Halloween’s and Thanksgiving’s feelings. Which is why I’ve refused to start my shopping until after the last of the turkey leftovers and Kit Kat Bars are gone. Once upon a time I delayed my holiday shopping until the middle of December for a more practical reason: procrastination.

IT 111

More Trending

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Data Trends to Watch in 2023

TDAN

Your business doesn’t stay still— and neither does the data landscape. While the next 12 months will no doubt contain many surprises, twists, and turns, one thing is certain. Data will continue passing through the veins of business industries and economies. With even more channels, at greater velocities, and containing even more insights, organizations will have […].

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BusinessObjects Solid for the Next Decade and Beyond

Paul Blogs on BI

This is usually the time of the year when people make predictions about the coming year. I have done this myself many times but, this year, I am going to make a prediction about the next 10 years. Here it is : “BusinessObjects will continue to thrive and remain the most solid BI reporting tool for the next 10 years and beyond”. It is not just the fact that SAP changed it’s BI and Analytics Statement of Direction in June this year and announced a 10-year plus roadmap for BusinessObjects which, by

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4 Trends for Manufacturing and AI in 2023

Dataiku

The past three years have seen unprecedented shocks to the global economy at all scales. Manufacturers across the world have already devoted considerable amounts of time and resources to anticipating and proactively responding to the pressures brought on by the coronavirus pandemic. And just this past year, with the war in Ukraine once more sowing the geopolitical landscape with instability, the existing global supply chain disruptions have been compounded by an energy crisis and by rising rates

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When it comes to sustainability, we have leverage!

Timo Elliott

As an individual, I don’t feel like I can do much to help head off the climate crisis. In fact, I’m personally making it worse. I try to do my part, of course: I switch off the lights when rooms aren’t being used, I sort my garbage, I’m eating less red meat, I haven’t owned a car in over twenty years, and I vote for people who believe in change.

IT 98
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Through the Looking Glass: Care of the Soul of Data

TDAN

I am innately distrustful of buzzwords. I recall in the early 1990’s that the hot management trend was “self-directed teams.” Its main attraction to executives seemed to be as an excuse to lay off lots of managers, because with the right training, a group of employees could manage themselves (I had forty-seven direct reports at […].

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Sourced Group an Amdocs Company, empowers the growth of BaaS for Standard Chartered nexus

CIO Business Intelligence

Banking as a Service (BaaS) is revolutionising the finance sector. BaaS enables non-financial companies to provide customers with financial products and services such as personal loans, credit cards and digital savings accounts. It leverages the expertise and experience of trusted banks, such as Standard Chartered, so they can offer a wider range of services to existing and new customers.

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Data Governance Drives Outcomes In Healthcare

TDAN

Over the last decade, there have been more than 4,000 data breaches in healthcare organizations. Unfortunately, a lot of those data breaches come from poorly organized or secure data. The solution to these sensitive issues in the healthcare industry is simple: data governance. Better yet, an efficient data governance plan that can clear up numerous […].

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Finally leverage edge by adopting an as-a-service approach

CIO Business Intelligence

A shift toward hybrid IT infrastructure has accelerated as a result of the pandemic, along with an increased demand for ultra-low latency, high-bandwidth networks and, by extension, edge computing. However, many organizations simply don’t have the resources or the expertise to build or manage the complex distributed systems required for effective edge computing delivery, a distributed computing paradigm that brings computation and data storage closer to the sources of data.

IoT 59
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Utilizing Consumer Data for Business Growth

TDAN

Small business owners often overlook data collection. However, if you run your own small business, ethically collecting consumer data is key to increasing your operational efficiency and creating sustainable growth. You don’t have to be a data enthusiast to collect and interpret consumer data either. Limiting your search and collecting clean, useful data will save […].

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Add brand security to your workload

CIO Business Intelligence

Last month in this column , I wrote about how businesses need to “lock up the front door” to their systems to prevent phishing attacks and take a multi-tiered approach to rethinking the identity of their employees, partners, and customers. And while we have been banging this drum for quite some time, a new villain has reared its head. In recent weeks, we’ve seen glaring examples of the harm that bad actors have caused to a company’s financial viability and product reputation due to confusion cau

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The Data-Centric Revolution: Detour / Shortcut to FAIR

TDAN

The FAIR principles for data sets are gaining traction, especially in the pharmaceutical industry in Europe. FAIR stands for: Findable, Accessible, Interoperable and Reusable. In a world of exponential data growth and ever-increasing silo-ization, the FAIR principles are needed more than ever. In this article, we will first summarize the FAIR principles and describe the […].

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AI in Insurance Use Cases & Benefits

Dataiku

When it comes to the use of AI in insurance, a Dataiku-sponsored survey of executives revealed that insurers still have room to grow — only 7% of insurance companies surveyed are considered leaders. This despite the fact that AI applications in insurance and the benefits of AI in insurance are many, and the industry already has a long history of leveraging data via actuarial science to assess risk.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Key Components of a Data Sharing Platform

TDAN

Companies are increasingly focused on finding ways to connect to new and valuable sources of data in order to enhance their analytical capabilities, enrich their models, or deliver more insight to their business units. Due to the increased demand for new data sources, companies are also looking at their internal data differently. Organizations that have […].

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Alation Adds Two New Product Leaders to our Growing Team

Alation

Today I’m thrilled to share that we’ve added two new, seasoned leaders to the Alation Product Team. Diby Malakar joins as our new Vice President of Product Management, Cloud & Technical Metadata Platform and Jonathan Bruce is our new Vice President of Product Management, Catalog, Governance & Data Exploration Apps & Logical Metadata Platform.

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Focus on cost and agility to ensure your cloud migration success

CIO Business Intelligence

When businesses migrate to public cloud, they expect to enjoy greater agility, resiliency, scalability, security, and cost-efficiency. But while some organizations undergo a relatively smooth journey, others can find themselves embarked on a bumpy trek fraught with time-wasting detours and lurking money pits – and with that glowing cloud promise still beyond their reach.

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AI-Driven SAST Strategies Transform Application Security

Smart Data Collective

AI technology has become an incredibly important part of most IT functions. One of the many reasons IT professionals are investing in AI is to fortify their digital security. One of the best ways that cybersecurity professionals are leveraging AI is by utilizing SAST strategies. AI Solidifies Network Security with Better SAST Protocols. AI technology has led to a number of new cybersecurity threats.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Episode 5: Customer-centricity: The Great Differentiator

CIO Business Intelligence

Customer centricity, or putting the customer’s expectations front and center, is not a new concept. But given the reality of the global pandemic, coupled with uncertain times, delivering on this concept is more important than ever, especially for SMBs. Simply put, delivering genuine value across every customer touchpoint can not only help build resilience but also contribute to long-term success.

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5 Ways to Streamline Your Business Data for Maximum Efficiency

Smart Data Collective

In today’s digital world, businesses need to be able to access and analyze their data quickly and efficiently. Streamlining business data is an important part of achieving maximum efficiency. By streamlining your business data, you can save money and increase productivity with less overhead. Whether you’re running a small business or a large-scale multinational company, your data is an important part of your daily operations.

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London Borough of Camden’s Tariq Khan on using data to improve local services

CIO Business Intelligence

Watch the episode: Listen to the episode: CIO Leadership Live.

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7 ways to cope with a C-level rival

CIO Business Intelligence

Leadership colleagues who endlessly throw cold water onto your plans, initiatives, proposals, or insights can be a drain on your energy and motivation — and your career. Such rivals can prevent you from receiving sufficient budget, successfully implementing vital business initiatives, and steering your organization in the right direction. They must be dealt with but doing so can be tricky.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.