Mon.Oct 16, 2023

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Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs

Analytics Vidhya

Introduction I’m pretty sure most of you have already used ChatGPT. That’s great because you’ve taken your first step on a journey we’re about to embark on in this article! You see, when it comes to mastering any new technology, the first thing you do is use it. It’s like learning to swim by jumping […] The post Fine-Tuning, Retraining, and Beyond: Advancing with Custom LLMs appeared first on Analytics Vidhya.

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Mobile Analytics Buyers Guide: Market Observations

David Menninger's Analyst Perspectives

The 2023 Ventana Research Buyers Guide for Mobile Analytics research enables me to provide observations about how the market has advanced.

Marketing 282
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Harnessing NLP Superpowers: A Step-by-Step Hugging Face Fine Tuning Tutorial

Analytics Vidhya

Introduction Fine-tuning a natural language processing (NLP) model entails altering the model’s hyperparameters and architecture and typically adjusting the dataset to enhance the model’s performance on a given task. You can achieve this by adjusting the learning rate, the number of layers in the model, the size of the embeddings, and various other parameters.

Modeling 329
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How to capitalize on ‘Trustworthy AI’

CIO Business Intelligence

When a new wave of technology innovation seems to be breaking over the horizon, the fear of missing out — FOMO — can drive hasty decisions on new IT investments. Recent, rapid advances in artificial intelligence (AI) may represent one of the biggest FOMO moments ever , so, it’s critical that decision-makers get out in front of the wave and figure out how to implement Trustworthy AI.

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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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Enhancing Conversational AI with BERT: The Power of Slot Filling

Analytics Vidhya

Introduction In the era of Conversational AI, chatbots and virtual assistants have become ubiquitous, revolutionizing how we interact with technology. These intelligent systems can understand user queries, provide relevant information, and assist with various tasks. However, achieving accurate and context-aware responses is a complex challenge. One crucial component that aids in this process is slot […] The post Enhancing Conversational AI with BERT: The Power of Slot Filling appeared firs

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FinOps is the discipline enterprises need to optimize cloud spending

CIO Business Intelligence

Signing up for cloud services is easy. But getting control of cloud spending can be a persistent challenge for an enterprise focused on making the most of its technology investment. Gartner predicted worldwide end-user spending on public cloud services would grow 20.7% in 2023, to $591.8 billion. A survey for Foundry’s Cloud Computing Study 2023 found that lowering total cost of ownership ranks in the top three drivers of cloud computing initiatives, but controlling cloud costs was the top chall

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The case for predictive AI

CIO Business Intelligence

AI is taking the world by storm. All forward-thinking businesses are toying with or have already invested in AI — from boutique startups to enterprise conglomerates. According to Accenture , nearly 75% of companies have already integrated AI into their business strategies, and 42% said that the return on their AI initiatives exceeded their expectations (only 1% said the return didn’t meet expectations).

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How To Fine-Tune ChatGPT 3.5 Turbo

KDnuggets

This article has outlined how you can fine tune your GPT 3.5 Turbo models. You can do this by preparing your data, uploading your files, and then setting up a custom OpenAI session to handle the fine tuning.

Modeling 120
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Why IT projects still fail

CIO Business Intelligence

IT organizations have worked hard to get away from the problems that had plagued their past project delivery processes. They have replaced expansive scopes, the waterfall methodology, and long timelines with iterative development, the agile approach, and multiweek sprints, hoping to avert the big failures that have littered IT’s history. Those changes have indeed helped, but many IT projects still fail.

IT 136
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Best Ways to Integrate Big Data into Your Business

Smart Data Collective

Nowadays, information consumption is skyrocketing. This information, dubbed Big Data, has grown too large and complex for typical data processing methods. Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. The influence of Big Data on business is enormous. Where does big data come from?

Big Data 101
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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.

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Don’t gamble with your identity verification practices

CIO Business Intelligence

Déjà vu can suck sometimes. Earlier this year, I wrote about the importance of organizations reviewing their password management strategies. I also emphasized that companies need to urgently review their employee access protocol, writing that companies must “ make it a point to do continuous employee training to help your teams avoid being duped by phishing and malware tactics.

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The Generative AI Bubble Will Burst Soon

KDnuggets

Due to unsustainable hype, unrealistic valuations, limitations of current technology, and unproven business models.

Modeling 127
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The strategy behind becoming a manufacturing superpower

CIO Business Intelligence

What do the top manufacturing countries have in common? Their manufacturing industries are laser-focused on melding IT with OT to create the smartest digital production lines possible. The world of manufacturing is undergoing a quiet revolution: the integration of Operational Technology (OT) and Information Technology (IT). These two domains have traditionally been separate – IT has provided computing and communications, while OT operated the physical manufacturing machinery and associated monit

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Mastering the Art of Data Cleaning in Python

KDnuggets

How to clean your data in Python and make it ready for use in a data science project.

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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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How to get started with AI to speed software delivery

CIO Business Intelligence

Artificial intelligence has so dominated headlines and conversations that it seems like every company is announcing their own AI-related feature, solution, or initiative for their business. And you wouldn’t be wrong: the latest McKinsey Global survey shows that organizations are most commonly using generative AI (gen AI). In fact, 40% of those reporting AI adoption at their organizations say their companies expect to invest more in AI, and 28% say gen AI use is already on their board’s agenda.

Software 131
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Getting Started With Cloudera Open Data Lakehouse on Private Cloud

Cloudera

Cloudera recently released a fully featured Open Data Lakehouse , powered by Apache Iceberg in the private cloud, in addition to what’s already been available for the Open Data Lakehouse in the public cloud since last year. This release signified Cloudera’s vision of Iceberg everywhere. Customers can deploy Open Data Lakehouse wherever the data resides — any public cloud, private cloud, or hybrid cloud, and port workloads seamlessly across deployments.

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HUAWEI eKit makes digital business easy for distributors

CIO Business Intelligence

Small and Medium Enterprises (SMEs) aren’t just businesses; they’re the pillars that uphold the global economy, accounting for 50% of global GDP and 70% of jobs. Their influence is undeniable – which is why Huawei has created a new digital platform to support them. Despite their vast numbers, a significant portion of SMEs are only now beginning to harness the power of digital technology.

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Six keys to achieving advanced container monitoring

IBM Big Data Hub

Organizations have increasingly turned to containerization to create more scalable, efficient and agile infrastructure. Containerization involves packaging software code with the libraries and dependencies required to run the code. This creates self-contained code that can be run on any infrastructure, such as desktop, on-premises IT or cloud-native.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.

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Hybrid meetings: 5 best practices for better outcomes

CIO Business Intelligence

Offering a work-from-home option is no longer negotiable if you want to keep your teams staffed with talented employees. When asked what they would do if they had to return to the office full-time, a recent study from PromoLeaf found that more than half (52%) of remote workers would quit. That’s a jump from a post-pandemic Gartner study , which found that 39% of US adults would leave their job if remote work were no longer permitted.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. Using AI for certain business tasks or without guardrails in place may also not align with an organization’s core values.

Risk 79
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PCI compliance: The best defense is a great defense

CIO Business Intelligence

Sophisticated criminal syndicates, rogue nation states and a global community of nefarious attackers are all eager to pilfer valuable data, including payment card information. Not surprisingly, Payment Card Industry Data Security Standard (PCI DSS) compliance is crucially important. Updating the PCI DSS is likewise critical. Slated to go into effect after the current PCI DSS version 3.2.1 expires, the updated PCI DSS version 4.0 includes numerous updates and 64 new requirements designed to help

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Shedding light on AI bias with real world examples

IBM Big Data Hub

As companies increase their use of artificial intelligence (AI), people are questioning the extent to which human biases have made their way into AI systems. Examples of AI bias in the real world show us that when discriminatory data and algorithms are baked into AI models, the models deploy biases at scale and amplify the resulting negative effects.

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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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PCI DSS version 4.0: Is your payment card data security program ready?

CIO Business Intelligence

The numerous new attack vectors being used by threat actors to obtain payment card data underscores the increasing necessity of compliance with the Payment Card Industry Data Security Standard (PCI DSS). According to the 2023 edition of Verizon’s Data Breach Investigations Report (DBIR), payment card data was compromised in 37% of breaches in 2022.

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IBM Named a Leader in the 2023 Gartner Magic Quadrant for API Management

IBM Big Data Hub

APIs serve as essential connectors between the growing number of data sources and applications in companies of all sizes and in all industries. This means that businesses are relying on and creating more APIs than ever before to get the data they need to power their applications and experiences, and scale their operations. However, it’s difficult to manage APIs manually, which is why organizations are turning to API management solutions like IBM API Connect® to bring consistency and s

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Exploring crucial terminal emulation capabilities

CIO Business Intelligence

As organizations rely on terminal emulation to access and interact with legacy systems, the capabilities offered by terminal emulation solutions become crucial factors in the selection process. Terminal emulation users have specific requirements to ensure a seamless and efficient user experience. When considering a new terminal emulation solution, organizations tend to be concerned about the conversion impact — the duration of the migration, the end-to-end skills needed, the productivity outcom

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Navigating the Modern Data Maze: How LLMs Are Changing the Game

Dataiku

Navigating the labyrinth of modern business data is no small feat. Whether you're a customer service guru or a legal expert, you're all too familiar with the intricate (and often tedious) dance of sifting through endless documents to extract just the right information. And let's not even talk about stitching that data into a coherent, defensible narrative.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format. To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.

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PCI compliance: Is your qualified security assessor up to the task?

CIO Business Intelligence

In a volatile payments landscape, enterprises are preparing for the Payment Card Industry Data Security Standard (PCI DSS) version 3.2.1 to expire on March 31, 2024. Taking its place will be the more robust PCI DSS version 4.0, a substantial update to the Standard designed to address the continually evolving threat landscape and changing payments systems.

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Challenges and risks associated with lack of real-time monitoring in SAP

IBM Big Data Hub

Real-time monitoring in SAP BTP lets users harness the power of proactive detection and transform their operations, eliminating problems related to sluggish performance, downtime and troubleshooting errors. Real-time monitoring provides for a much-improved user experience, supporting swift action against performance degradation and prompt resolution of issues.

Risk 76
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Pro Baseball to Developer with @anthonyshew: TDI 25

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. “I would code on the bus, on the plane, at the hotel, at home…pretty much anywhere except the field!

IT 59
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10 everyday machine learning use cases

IBM Big Data Hub

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029. Here are some real-world applications of machine learning that have become part of our everyday lives.

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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.