Thu.Apr 13, 2023

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8 In-Demand Data Science Certifications for Career Advancement [2023]

Analytics Vidhya

The job opportunities for data scientists will grow by 36% between 2021 and 2031, as suggested by BLS. It has become one of the most demanding job profiles of the current era. As recruiters hunt for professionals who are knowledgeable about data science, the average median pay for a proficient Data Scientist has soared to $100,910 […] The post 8 In-Demand Data Science Certifications for Career Advancement [2023] appeared first on Analytics Vidhya.

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Sigma Computing Makes Cloud Analytics More Accessible

David Menninger's Analyst Perspectives

Organizations are becoming increasingly aware of the potential value that can be gained by processing big data. As data sources grow, it becomes important to have tools and methods to effectively process, analyze and visualize this information from disparate systems and warehouses.

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Elon Musk’s AI Paradox: Investing in AI Research After Calling for Pause

Analytics Vidhya

Interestingly, Elon Musk is advancing Twitter’s AI project, by investing in GPUs, despite having recently called for a pause in developing such technology. Two weeks ago, Musk and other tech titans and academics, such as Apple co-founder Steve Wozniak, signed a letter stating that AI development and systems with human-competitive intelligence pose significant risks to […] The post Elon Musk’s AI Paradox: Investing in AI Research After Calling for Pause appeared first on Analyti

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Why IT leaders are putting more business spin on security spend

CIO Business Intelligence

Gartner projects that spending on information security and risk management products and services will grow 11.3% to reach more than $188.3 billion this year. But despite those expenditures, there have already been at least 13 major data breaches, including at Apple, Meta and Twitter. To better focus security spend, some chief information security officers (CISOs) are shifting their risk assessments from IT systems to the data, applications, and processes that keep the business going.

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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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AI Tool Detects Fake Sick Leave with 70% Accuracy: Know How

Analytics Vidhya

Imagine a world where AI can effortlessly determine if someone is genuinely sick or faking it just by analyzing their voice. Thanks to a groundbreaking collaboration between the Sardar Vallabhbhai National Institute of Technology (SVNIT) and the Germany’s Rhenish University of Applied Science, this remarkable innovation is now a reality. Unveiling a cutting-edge AI tool […] The post AI Tool Detects Fake Sick Leave with 70% Accuracy: Know How appeared first on Analytics Vidhya.

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CIO Digital Enterprise Forum 2023: How CIOs can strategically and ethically use generative AI

CIO Business Intelligence

The CIO Digital Enterprise Forum will be held in London on Thursday 11 th May at Prospero House, London Bridge. Amit Sen from the United Nations Refugee Agency and Howard Pyle from Experience Futures will host the opening keynote. They will focus on the importance of organizations linking analytics with social impact goals and standards of inclusion.

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How to Use Large Language Models in the Enterprise

Dataiku

Large language models (LLMs) are the technology behind popular products including OpenAI’s ChatGPT, Microsoft’s Bing, and Google’s Bard. Yet reports of employees leaking sensitive company data to ChatGPT raises major questions around properly leveraging LLMs in an enterprise setting.

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Circular innovation: how to create sustainable products

CIO Business Intelligence

If you recycle, you’re living your belief that using and regenerating products or components in environmentally friendly ways is good for our planet and its people. By extension, you’ll likely find value in the circular economy concept. According to the renowned Ellen MacArthur Foundation, “Through design, we can eliminate waste and pollution, circulate products and materials, and regenerate nature, creating an economy that benefits people, business, and the natural world.

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How to build a decision tree model in IBM Db2

IBM Big Data Hub

After developing a machine learning model, you need a place to run your model and serve predictions. If your company is in the early stage of its AI journey or has budget constraints, you may struggle to find a deployment system for your model. Building ML infrastructure and integrating ML models with the larger business are major bottlenecks to AI adoption [1,2,3].

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4 ways to enable explainability in generative AI

CIO Business Intelligence

Have you ever gazed upon a Monet painting and lost yourself for a time? I have. I love great works of art. The University of London’s research says beautiful art catalyzes an instant release of dopamine into the brain. I feel that jolt of reward and motivation when I see a masterpiece. As an artist and an engineer, I find myself curious about the techniques, stories of the paintings, reasons behind the color choices, the style of brushstrokes, and the preservation of each piece.

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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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Top 3 considerations for adopting RISE with SAP to modernize your operations

IBM Big Data Hub

Organizations are increasingly seeking more choice and flexibility as they modernize their mission-critical workloads. But each organization is at a different point and has different goals when transforming their businesses and modernizing their SAP environments. Some organizations are looking to improve business operations by moving from legacy ERP to SAP S/4HANA®, SAP’s next-generation ERP software, while others want to replace manual processes with AI and automation.

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#ClouderaLife Employee Spotlight: Sherry Zhou, Engineering Manager

Cloudera

As we celebrate International Women’s Day and Women’s History Month in the US, for this #ClouderaLife Employee Spotlight we sat down with Clouderan Sherry Zhou to talk about her career transition from biology to technology, her geographic transition from the US to the UK, and what she learned along the way. Sherry is an Engineering Manager for the CDV (Cloudera Data Visualization) team.

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5 takeaways from the early days of IBM Partner Plus

IBM Big Data Hub

The past three months have been transformative for the IBM Ecosystem. Our investment in the ecosystem is deeper than ever before, and momentum is accelerating across all partner types as they continue to scale and innovate. This demonstrates their commitment to clients, deep expertise and hunger to collaborate and co-create with us. Thanks to each of our partners and the many IBMers working alongside them, we’ve accomplished some incredible things.

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6 ChatGPT mind-blowing extensions to use anywhere

KDnuggets

And how to make ChatGPT our daily assistant using them.

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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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Lessons on Co-Existence from the Philadelphia Zoo

Paul Blogs on BI

I just got back from presenting at two in-person BusinessObjects User Group Meetings in Trenton, NJ and Philadelphia, PA. The Philadelphia meeting was held at the Philadelphia Zoo and included a free pass to the Zoo afterwards. I really enjoyed this Zoo because they really have gone all out to create a better experience for the animals. They have these enclosed trials where many of the animals can literally walk around the zoo and they have successfully brought some animals together to share the

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Post GPT-4: Answering Most Asked Questions About AI

KDnuggets

Is AI overhyped, or is there a valid reason to be afraid?

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The Energy Utilities Series: The Challenges Facing Energy Utilities (Post 1 of 6)

Data Virtualization

Reading Time: 2 minutes Over the next few years, energy utilities will face significant challenges and disruption as the consequences of decarbonization, electrification, digitalization, and regulatory changes hit home. In a series of articles, we’ll look at the different challenges and disruptions facing the. The post The Energy Utilities Series: The Challenges Facing Energy Utilities (Post 1 of 6) appeared first on Data Virtualization blog - Data Integration and Modern Data Management Ar

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Boost your machine learning model performance!

KDnuggets

In Ensemble Methods for Machine Learning from Manning you’ll discover core ensemble methods that have proven records in both data science competitions and real-world applications.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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The Energy Utilities Series: The Challenges Facing Energy Utilities (Post 1 of 6)

Data Virtualization

Reading Time: 2 minutes Over the next few years, energy utilities will face significant challenges and disruption as the consequences of decarbonization, electrification, digitalization, and regulatory changes hit home. In a series of articles, we’ll look at the different challenges and disruptions facing the. The post The Energy Utilities Series: The Challenges Facing Energy Utilities (Post 1 of 6) appeared first on Data Virtualization blog - Data Integration and Modern Data Management Ar

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How to Build a Resilient IT Team During an Economic Downturn

Smart Data Collective

Resilient IT teams are better capable of incorporating changes, they’re more flexible in the face of adversity, and they can achieve more and less time. Building a resilient IT team during an economic downturn seems like an impossible challenge, especially if you’re facing budget limitations and staffing shortages. So, how can you approach it?

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How to find and retain talent, according to CIOs

CIO Business Intelligence

As discussed at IDC CIO Summit in Dubai, hiring and retaining talented profiles in technology has never been easy, but as the world of work continues to evolve and organizations shift to hybrid work models, new challenges and opportunities present themselves. How can technology leaders leverage these shifts to enhance online and virtual experiences and strengthen competitiveness by developing people, talent, and skills?

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10 Best Data Visualization Tools You Should Know in 2023

FineReport

Data visualization tools are essential for businesses to gain insights and make informed decisions based on data. With so many options available, it can be challenging to choose the right one for your needs. In this article, we will introduce you to the 10 best data visualization tools you should know in 2023. What Is Data Visualization? Data visualization refers to the depiction of information and data through different types of graphics.

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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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Make Faster, More Accurate Forecasts with Automation

Jet Global

The last couple of years have been volatile for the finance industry. Runaway inflation, rising interest rates, and recent bank failures have finance leaders on edge and looking for ways to shore up their defenses as recession becomes more likely. In periods of economic uncertainty, financial planning and analysis (FP&A) teams become more important than ever.