Tue.Oct 24, 2023

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The Ethical Frontiers of Generative AI: Introduction and Importance

Analytics Vidhya

Introduction Generative AI, with its remarkable capabilities to create, mimic, and enhance content, has ushered in an era of both unprecedented possibilities and complex ethical dilemmas. This article delves into the ethical frontiers of generative AI, emphasizing their importance in our rapidly evolving digital landscape. It aims to illuminate the multifaceted challenges associated with generative […] The post The Ethical Frontiers of Generative AI: Introduction and Importance appeared fi

Analytics 313
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Model Collapse: An Experiment

O'Reilly on Data

Ever since the current craze for AI-generated everything took hold, I’ve wondered: what will happen when the world is so full of AI-generated stuff (text, software, pictures, music) that our training sets for AI are dominated by content created by AI. We already see hints of that on GitHub: in February 2023, GitHub said that 46% of all the code checked in was written by Copilot.

Modeling 224
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7 sins of digital transformation

CIO Business Intelligence

As CIOs prepare for the next wave of digital transformation, they must demonstrate shorter-term business impacts from technology investments and achieve larger innovation goals that evolve the organization’s business model. But perhaps more importantly, they must learn from their previous big digital wins — and avoid repeating all-too-frequent mistakes that cause transformations to fail or lag behind expectations.

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Supercomputing Programmer with @friedmud: TDI 33

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer. “2 years from now our new flagship system is slated to have 500k cores!

Testing 105
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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7 ways diversity and inclusion help teams perform better

CIO Business Intelligence

Diversity, equity, and inclusion have become important social issues. In the wake of the George Floyd and Breonna Taylor murders of 2020, companies made massive, highly publicized efforts to correct for systemic bias and improve the mix of race, gender, and lived experiences in the workplace. According to a recent study from Pew Research, most employed adults in the US think this is a good thing.

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Python f-Strings Magic: 5 Game-Changing Tricks Every Coder Needs to Know

KDnuggets

Let’s explore some of the lesser known but super helpful uses of Python f-strings in debugging, formatting dates and LLM prompt templates, and more.

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More Trending

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IBM Consulting accelerates the future of FinOps collaboration with Apptio

IBM Big Data Hub

Making the right technology investment decisions today is critical to building competitive advantage, fueling innovation and driving ROI. However, dispersed, unreliable data and time-consuming, error prone processes can lead to bloated budgets, ineffective planning and missed opportunities. Organizations need simplified, integrated and automated solutions to help optimize IT spend, improve operations and drive greater financial returns.

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Four things that matter in the AI hype cycle

CIO Business Intelligence

It’s been almost one year since a new breed of artificial intelligence took the world by storm. The capabilities of these new generative AI tools, most of which are powered by large language models (LLM), forced every company and employee to rethink how they work. Was this new technology a threat to their job or a tool that would amplify their productivity?

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Transforming Telco with Trusted AI Everywhere

Cloudera

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. AI-powered automation is already driving significant margin growth by reducing costs. But to truly drive transformation telcos must ensure AI models are driven by accurate, high-quality, trusted data, and determine how to manage and govern massive volume

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Author E. Freya Williams has a Message for Tech Leaders

CIO Business Intelligence

In May of 2021 VMware unveiled VMware Zero Carbon Committed , an initiative to encourage partners to power their data centers with renewable energy sources by 2030. To date, more than 70 of the world’s leading cloud services and solutions providers made the commitment and are working to combat climate change by radically reducing their carbon emissions.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Build multi-layer maps in Amazon OpenSearch Service

AWS Big Data

With the release of Amazon OpenSearch Service 2.5, you can create maps with multiple layers to visualize your geographical data. You can build each layer from a different index pattern to separate data sources. Organizing the map in layers makes it more straightforward to visualize, view, and analyze geographical data. The layering also helps fetch data from various sources, view different data at different zoom levels, and continuously refresh data for a real-time dataset.

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Top overlooked GenAI security risks for businesses

CIO Business Intelligence

As GenAI continues to evolve, organizations of all sizes are wondering if, how, and to what extent to integrate it into their operations. Many are under pressure to show that they are adopting these new technologies and not falling behind the competition. But adding these new capabilities to your tech stack comes with a host of security risks. For executives and decision-makers, understanding these risks is crucial to safeguarding your business.

Risk 126
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Putting AI to Work: 5 Favorite Moments From the 2023 Everyday AI New York Conference

Dataiku

What does it mean to “Put AI to Work''? This phrase — the tagline for Dataiku’s 2023 Everyday AI conference series — underscores that game-changing moonshots are created by transforming how AI is used habitually every day in your organization. AI has never been hotter thanks to recent breakthroughs in Generative AI , but the gap between asking ChatGPT for recipe recommendations and the large ambitions of practical, enterprise-disrupting implementation has never felt more daunting.

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Exploring the pros and cons of cloud-based large language models

CIO Business Intelligence

The paradigm shift towards the cloud has dominated the technology landscape, providing organizations with stronger connectivity, efficiency, and scalability. As a result of ongoing cloud adoption, developers face increased pressures to rapidly create and deploy applications in support of their organization’s cloud transformation goals. Cloud applications, in essence, have become organizations’ crown jewels and developers are measured on how quickly they can build and deploy them.

Modeling 119
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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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Generative AI and resilient hybrid cloud systems

IBM Big Data Hub

As enterprises invest their time and money into digitally transforming their business operations, and move more of their workloads to cloud platforms, their overall systems organically become largely hybrid by design. A hybrid cloud architecture also means too many moving parts and multiple service providers, therefore posing a much bigger challenge when it comes to maintaining highly resilient hybrid cloud systems.

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Utilizing AI to defend the Black Hat NOC

CIO Business Intelligence

This year’s Black Hat USA conference saw more than 907M threat events detected in real time, according to data collected by Palo Alto Networks. This is a staggering number that shows just how attractive the event is to threat actors – and artificial intelligence (AI) was a key driver in protecting against these attempts. With new attacks being reported daily, the stakes have never been higher to protect one of the industry’s top events.

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How Predictive Analytics is Revolutionizing Decision-Making in Tech

KDnuggets

Learn how predictive analytics work in a business environment.

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Unveiling the risks of OT systems and how to secure them

CIO Business Intelligence

When we consider what security means for an organization, most think of needing to secure systems and devices like cloud computing instances, servers, employee workstations, and other tech commonly seen in the workplace. While these are certainly important, there are many other devices requiring protection that are hiding in plain sight. Operational technology (OT) is an area that is often overlooked as they include systems and technologies that the eye cannot always see.

Risk 83
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Enterprise-managed IAM: An SRE team case study

IBM Big Data Hub

Enterprise-managed identity and access management (IAM) enables cloud administrators to centrally configure access and security settings for the entire organization. To learn about the basics, see “ How enterprise-managed IAM works.” The case study in this blog post shows how to easily and securely implement and manage a site reliability engineering (SRE) team’s access across an enterprise.

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Mobile BI is Crucial to Business User Adoption!

Smarten

Mobile Analytics Features Are Key to Productivity and Decision-Making! If you are considering implementing an analytics package, here are some statistics you may find interesting. When surveyed, users of BI tools and augmented analytics reported the following: More than 65% of users reported that analytics improved efficiency and productivity. More than 58% reported that analytics helped them make more effective decisions, more quickly.

Sales 67
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Empowering cyber resilience in education: Three strategies for the future

CIO Business Intelligence

Those of us with the privilege to work in education have an opportunity to shape the next generation to be more cyberaware and make our digital world a safer place. It’s an obligation we must all take seriously. The threat environment is becoming more perilous, particularly with the growing use of artificial intelligence by hackers. The challenges coming our way in the future will best be met by a population that is informed, aware, and innately invested in cyber safety.

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Lessons from reluctant data engineering

Data Science and Beyond

Video and summary of a talk I gave at DataEngBytes Brisbane on what I learned from doing data engineering as part of every data science role I had.

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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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What do Security Operations Centers really need—today…and tomorrow

CIO Business Intelligence

We are at a crossroads where well-funded threat actors are leveraging innovative tools, such as machine learning and artificial intelligence, while Security Operations Centers (SOCs), built around legacy technologies like security information and event management (SIEM) solutions, are failing to rise to the occasion. Organizations of all sizes need a scalable solution that keeps pace with cloud initiatives, advanced attack campaigns, and digital transformation in order to thwart attacks before t

Risk 105
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Simplify Amazon Redshift monitoring using the new unified SYS views

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud, providing up to five times better price-performance than any other cloud data warehouse, with performance innovation out of the box at no additional cost to you. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads.

Metrics 81
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Beyond Skynet: Crafting the Next Frontier in AI Evolution

KDnuggets

The article discusses the value of reliable data, democratizing access to valuable data insights, and consumer privacy’s impact on the competitive edge of big tech.

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Remove Data Siloes to Increase the Value of Your SAP Reporting

Jet Global

Your SAP system collects vast amounts of financial and operational data. But you only tap into a portion of SAP’s potential power when this data is kept siloed within separate departments, systems or spreadsheets. CFOs are under increasing pressure to provide actionable insights that guide leadership decision-making. In today’s turbulent market, it’s key that these insights include data inputs from across the whole organization, not just finance.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.