Wed.Aug 02, 2023

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A Comprehensive Guide to Fine-Tuning Large Language Models

Analytics Vidhya

Introduction Over the past few years, the landscape of natural language processing (NLP) has undergone a remarkable transformation, all thanks to the advent of large language models. These sophisticated models have opened the doors to a wide array of applications, ranging from language translation to sentiment analysis and even the creation of intelligent chatbots.

Modeling 271
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Improving visibility and security in hybrid cloud environments

CIO Business Intelligence

When it comes to keeping our digital world secure, there’s a saying that really hits home: “ You can’t protect what you can’t see.” It’s a reminder that without a clear view of our data and systems, we’re leaving ourselves vulnerable to all sorts of risks. That’s where centralized visibility comes in. By bringing together information from different sources and analyzing it, we gain a powerful tool to identify and respond to potential threats.

Risk 98
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Adapting BERT Through Fine-tuning For Downstream Tasks

Analytics Vidhya

Introduction Adapting BERT for downstream tasks entails utilizing the pre-trained BERT model and customizing it for a particular task by adding a layer on top and training it on the target task. This technique allows the model to learn dependent on the task details from the data used for training while drawing on the knowledge of […] The post Adapting BERT Through Fine-tuning For Downstream Tasks appeared first on Analytics Vidhya.

Modeling 271
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Enterprises enthusiastic about generative AI, Foundry survey shows

CIO Business Intelligence

Generative AI is already making deep inroads into the enterprise, but not always under IT department control, according to a recent survey of business and IT leaders by Foundry, publisher of CIO.com. The survey found tension between business leaders seeking competitive advantage, and IT leaders wanting to limit risks. Some 62% of respondents said their organizations were actively using generative AI, with 23% saying they were in the early stages of exploring its use, and 14% saying they were con

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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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KYC Registration Now Made Easy Using AI

Analytics Vidhya

Capital market players can now bid farewell to lengthy and cumbersome KYC registration processes, thanks to CAMSKRA’s AI-embedded KYC solution. Leveraging the power of artificial intelligence, this new offering promises seamless and lightning-fast customer onboarding, revolutionizing how businesses verify their clients. Let’s dive into the details and discover how this innovative technology is set to […] The post KYC Registration Now Made Easy Using AI appeared first on Analyti

Marketing 268
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10 tips for modernizing legacy apps for the cloud

CIO Business Intelligence

To fully capitalize on the cloud’s scalability and flexibility, most enterprises go beyond a simple lift-and-shift approach, instead injecting them with cloud-native capabilities — a strategy that sounds simple but can quickly prove complex. After all, as with many seemingly easy tasks, the devil is in the details. Fortunately, modernizing a legacy app for the cloud doesn’t have to be a lengthy, painful process, as long as you have realistic expectations and are fully prepared to approach the ta

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CIO Ryan Snyder on the benefits of interpreting data as a layer cake

CIO Business Intelligence

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team.

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How FIS ingests and searches vector data for quick ticket resolution with Amazon OpenSearch Service

AWS Big Data

This post was co-written by Sheel Saket, Senior Data Science Manager at FIS, and Rupesh Tiwari, Senior Architect at Amazon Web Services. Do you ever find yourself grappling with multiple defect logging mechanisms, scattered project management tools, and fragmented software development platforms? Have you experienced the frustration of lacking a unified view, hindering your ability to efficiently manage and identify common trending issues within your enterprise?

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Adapt to Changing Regulations with Data Independence and Mobility

CIO Business Intelligence

“The era of open borders for data is ending,” declared The New York Times in May 2022. 1 Meeting security, privacy, and compliance ( [link] regulations and protecting data access and integrity ( [link] ) aren’t the end of the data sovereignty journey. Future-proof your cloud infrastructure with data independence and mobility so that data can be shared and migrated as needed to respond to changes in technology or geopolitics.

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How conversational AI can transform IT support

IBM Big Data Hub

My name is Michael, and I am a senior at New York University (NYU). Throughout my time in college, I’ve worked numerous part-time jobs to help cover the ever-rising costs of living and studying in New York City. These spanned from being a video editor, interning at startups, assisting in artificial intelligence research, and numerous other stints in between.

IT 73
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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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Salesforce launches Starter to ward off competition in the SMB segment

CIO Business Intelligence

Salesforce has made its customer relationship management (CRM) suite, dubbed Starter, generally available in an effort to garner more market share in the small and medium businesses (SMBs) segment as it faces stiff competition from rivals such as Zoho. Starter made its first appearance in June when the company launched it specifically in India, targeting one of the largest SMB markets in the world before it made the new offering available for the other markets.

Sales 98
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Using SHAP Values for Model Interpretability in Machine Learning

KDnuggets

Discover how SHAP can help you understand the impact of model features on predictions.

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Beyond compliance: How to pick winning ESG strategies that make a splash

CIO Business Intelligence

Gone are the days when ESG was advanced from within by a band of social advocates braving the current of traditional business thinking. ESG has penetrated our collective psyche and entered the business bloodstream. In many organizations, it informs every strategy, every activity, and many executives are now expected to craft plans as to how their domains will advance it.

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How chatbots improve human resource operations

IBM Big Data Hub

Today’s HR departments struggle to efficiently manage human resource operations and routine tasks, wasting time daily answering employees’ FAQs in the absence of a self-service system. When HR professionals are forced to allocate their time on these routine questions and repetitive tasks, they can’t focus on valuable work such as recruitment, retention and motivation, leadership development, and corporate culture.

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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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Inflection-1: The Next Frontier of Personal AI

KDnuggets

Introducing Inflection-1: Inflection.AI’s in-house LLM using Pi.ai which is catered to your unique needs.

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How IBM HR and the Chief Data Office partnered to drive data quality, increased productivity and a move to higher value work

IBM Big Data Hub

People analytics is at the center of Human Resources (HR) strategy. Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. According to a Gartner report , poor data quality costs organizations an average of USD $12.9 million each year.

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Answer these 4 questions to maximize the ROI of your security toolset

CIO Business Intelligence

Over the past decade, organizations realized they need to arm their teams with the right security toolset in order to mitigate the cyber threats they’re facing. The continuous investment and adoption of security tools has created a challenge: Organizations are now leveraging tens, and sometimes hundreds, of security tools from various vendors that often don’t share data and insights between each other.

ROI 52
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Debunking observability myths – Part 2: Why observability is important for everyone, not just SREs

IBM Big Data Hub

In our first blog post in this series on debunking observability myths, we focused on the myth that “ You can skip monitoring and rely solely on logs.” In this post, we’ll tackle another fallacy that limits the potential of observability—that it’s exclusively built for site reliability engineers (SREs). Why is this a myth?

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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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Reaching for the Stars: Propelling Data Quality at Scale With Dataiku & Starburst Galaxy

Dataiku

This is a guest article from our friends at Starburst. Starburst is a full-featured data lakes platform that includes all the capabilities needed to discover, organize and consume data without the need for time-consuming and costly data migrations.

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How chatbots can provide a better customer experience

IBM Big Data Hub

Over the years, chatbots have become seamlessly integrated in our day-to-day lives — in our homes, on our phones, on social media or in apps for shopping online, healthcare, customer support and more. They offer the advantage of identifying and understanding users, offering accurate answers, and completing tasks. As the prevalence and accessibility of artificial intelligence (AI) continues to grow, it is imperative that virtual agents integrate it into business practices in order to seamle

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Estimating Scope 1 Carbon Footprint with Amazon Athena

AWS Big Data

Today, more than 400 organizations have signed The Climate Pledge , a commitment to reach net-zero carbon by 2040. Some of the drivers that lead to setting explicit climate goals include customer demand, current and anticipated government relations, employee demand, investor demand, and sustainability as a competitive advantage. AWS customers are increasingly interested in ways to drive sustainability actions.

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Revolutionize your site for growth, innovation, and customer satisfaction with composable architecture

CIO Business Intelligence

If your business can’t adapt, your business can’t compete. In the fast-paced world of business, adaptability is the key to success. Unfortunately, most turn-key website platforms have a hidden flaw – they are inherently limited in their potential. As your business grows, your unique needs may diverge from what your vendor’s monolithic platform can offer, resulting in a system that does many things but excels at none.

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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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How AI-powered chatbots are transforming marketing and sales operations

IBM Big Data Hub

In this AI and digital age, customer expectations have evolved. Customers increasingly expect instant gratification: personalized, accurate answers faster and easier than ever before. They don’t want to fill out a form to request a quote, send an email to get pricing information, or wait to get simple answers; they want real-time answers and action.

Sales 79