Mon.Nov 20, 2023

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Decoding the Data-Driven Journey: Insights from Paisabazaar’s CEO 

Analytics Vidhya

Introduction In this episode of Leading with Data, Kunal Jain engages in a conversation with Naveen Kukreja, CEO of Paisabazaar. Unveil the secrets behind Naveen’s remarkable career, from navigating the banking and financial services domains to pioneering data-centric strategies in India’s evolving digital landscape. Join us as we decode the transformative power of data in […] The post Decoding the Data-Driven Journey: Insights from Paisabazaar’s CEO appeared first on An

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6 most underhyped technologies in IT — plus one that’s not dead yet

CIO Business Intelligence

Generative AI and, more specifically, ChatGPT captivated the corporate world in 2023, with board directors, CEOs, and other executives fawning (and sometimes fearing) the technology. Their enthusiasm is justified, with multiple studies finding that AI is delivering strong value and returns on investment. IBM, for one, found that the average ROI on enterprise-wide AI initiatives at 5.9% with best-in-class companies “reaping an enviable 13% ROI.

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What is Data Science’s Role in Modern Medicine?

Analytics Vidhya

Introduction With the rise of AI, we’ve come to rely more on data-driven decision-making to simplify the lives of working professionals. Whether it’s supply chain logistics or approving a loan for a customer, data holds the key. Leveraging the power of data science in the medical field can yield groundbreaking results. By analyzing vast amounts […] The post What is Data Science’s Role in Modern Medicine?

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Generative AI’s most noble mission: Improving and saving lives

CIO Business Intelligence

Michael J. Fox says it perfectly: “Family is not an important thing. It’s everything.” That’s exactly how I feel. As a technology professional, seeing how artificial intelligence (AI) and generative AI/large language models can improve and save lives makes me think about the significant difference this can have on families and communities worldwide–including mine.

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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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Strategic AI Team Building Made Easy with AutoGen

Analytics Vidhya

Introduction In a world where the digital frontier knows no bounds, AutoGen emerges as the architect of a transformative paradigm. Imagine having your a personalized AI workforce, each skilled in different domains, collaborate seamlessly, communicate effortlessly, and work tirelessly to tackle complex tasks. This is the essence of AutoGen, a pioneering multi-agent conversation framework that […] The post Strategic AI Team Building Made Easy with AutoGen appeared first on Analytics Vidhya.

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5 ways AI is showing promise as a decision-maker

CIO Business Intelligence

CIOs and others in the C-suite are already seeing payoffs from using AI to automate myriad types of business tasks and workflows. Now they’re eyeing a next-phase opportunity—relying on machine intelligence to handle complex decisions. “If you look at the advances we have seen in AI, with the large amounts of data that large language models can process, we can safely hand off various decisions to machines,” says Prasad Ramakrishnan, CIO & SVP of IT at Freshworks.

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The $400 billion opportunity for AI in customer service

CIO Business Intelligence

Not all AI-powered customer service chatbots are created equal—or created well. Take AVA, the AI-infused customer support bot that AirAsia introduced in 2019. AVA racked up nearly as many customer complaints as case resolutions, forcing AirAsia CEO Tony Fernandes to admit earlier this year that AVA was Southeast Asia’s “most hated AI chatbot.” AVA, of course, is not the only sad sack in the chatbot universe.

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How to build a successful talent management strategy

IBM Big Data Hub

Advanced organizations know their greatest assets are their employees. However, keeping employees happy and engaged can be challenging, especially when considering available resources and the need to meet other organizational goals. An organization is only as strong as its talent pool, so organizations have increasingly embraced talent management as a core component of their overarching strategy.

Strategy 113
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Can developer productivity be measured? Better than you think

CIO Business Intelligence

Measuring developer productivity has long been a Holy Grail of business. And like the Holy Grail, it has been elusive. But based on our work with companies from a range of industries, we think we may have figured out a way to do it that could work. In 2020, McKinsey surveyed 440 large companies about their “ developer velocity” — meaning the practices that best tap the full potential of development talent.

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5 Free Courses to Master Generative AI

KDnuggets

Generative AI is an exciting and fast-moving area of research and application. Check out these 5 courses to get up to speed and stay ahead of the curve.

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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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Frucor Suntory amplifies sales and service with a unified mobile app

CIO Business Intelligence

Early in my career, I stayed in an authentic ryokan inn in Kyoto. It was right out of an 1800s Hiroshige woodblock print with a Japanese garden, hanging lanterns, sliding rice paper doors, and a glowing view of Mt Fuji at sunrise. After work, my colleague and I discovered the local dishes and Suntory scotch—a first. Today, Suntory’s food and beverage products are enjoyed on a global scale, including Suntory Oceania , a partnership of Beam Suntory and Frucor Suntory that offers a broad spectrum

Sales 114
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Enhance Your Python Coding Style with Ruff

KDnuggets

Ruff's 700+ built-in lint rules, reimplemented in Rust for speed, provide comprehensive linting and formatting to enforce clean and consistent Python code.

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Gen AI: Should you build or buy?

CIO Business Intelligence

With organizations racing to put more generative AI tools in users’ hands—and software vendors rapidly integrating those tools into their products—CIOs face a familiar choice: develop their own solutions in house, or invest and adapt tools already available in a fast-growing AI marketplace. Yet it’s not a simple build-vs.-buy question, says Prakash Ramamurthy, chief product officer at Freshworks.

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Business leaders highlight the need for a hybrid cloud approach to unlock the power of generative AI

IBM Big Data Hub

In 2023, organizations have faced an unprecedented level of pressure to digitally transform with the rise of generative AI as well as imperatives such as sustainability, labor productivity and security. The “ Cloud Transformation Report ,” a new global survey from the IBM Institute for Business Value (IBV), found that many leading enterprises share a common foundation to digital transformation—a clear hybrid cloud strategy.¹ These businesses cite several key benefits to us

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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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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics

AWS Big Data

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. When running properly, it provides timely and trustworthy information. However, without vigilance, the varying data volumes, characteristics, and application behavior can cause data pipelines to become inefficient and problematic.

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Why You Should Not Overuse List Comprehensions in Python

KDnuggets

List comprehensions in Python are super helpful one-liners. But if overused, they can make your code a pain to maintain. Here’s why.

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IBM Named a Leader in 2023 Gartner® Magic Quadrant™ for Access Management

IBM Big Data Hub

We are thrilled to share that IBM is named a Leader in the most recent Gartner® Magic Quadrant™ for Access Management. IBM is recognized for its Ability to Execute and Completeness of Vision. As a team, we’ve been working hard to deliver on a roadmap of identity and access management capabilities that we believe solve the biggest challenges organizations are facing when it comes to managing identities in today’s dispersed, hybrid cloud environments.

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Back to Basics Week 3: Introduction to Machine Learning

KDnuggets

Welcome back to Week 3 of KDnuggets’ "Back to Basics" series. This week, we will be diving into the world of machine learning.

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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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Generative AI and the Actionability of Using AI Today

Dataiku

When asked about the most impressive Large Language Model (LLM) based application they’ve seen built in Dataiku so far, the panelists of this Everyday AI New York session responded with image to text descriptions, ChatGPT for augmented information regarding architecture, and visual question and answering.

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Business Intelligence, and How To Get It

Jet Global

Unlock insights from ERP Data to Deliver Actionable Insights Let’s face it. With the volatility of the market and increasing uncertainties that arise within your business, you need actionable insights to contend with competitors buoyed by digital transformation efforts. The valuable data stored in your ERP system can help you make informed decisions, but that data is often the toughest to unlock.

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A Look at the Acronyms and Meaning of AI Technology!

Smarten

If you are a business owner, an IT professional or a consumer, you have probably heard about artificial intelligence (AI) technologies and the myriad of buzzwords and acronyms that describe the various products, technologies and services. In this article, we will cut through the confusion to provide definitions of the various technologies, vendors and services.

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You don't need a proprietary API for static maps

Data Science and Beyond

For many use cases, libraries like cartopy are better than the likes of Mapbox and Google Maps.

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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 machines learned to chat

CIO Business Intelligence

Chatbots have blazed an evolutionary path similar to that of self-driving cars. Using the benchmarking approach for driverless vehicles, they’ve advanced from what we might call Level 0—simple call-and-response programs designed a half-century ago—to Level 5—sophisticated AI-driven engines that can increasingly perform human-like tasks. That’s like going from rotary phones to the iPhone, notes Robb Wilson, co-author of “ Age of Invisible Machines ” and CEO and co-founder of OneReach.ai, which ma

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Introducing AWS Glue serverless Spark UI for better monitoring and troubleshooting

AWS Big Data

In AWS, hundreds of thousands of customers use AWS Glue , a serverless data integration service, to discover, combine, and prepare data for analytics and machine learning. When you have complex datasets and demanding Apache Spark workloads, you may experience performance bottlenecks or errors during Spark job runs. Troubleshooting these issues can be difficult and delay getting jobs working in production.

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Integrating healthcare apps and data with FHIR + HL7

IBM Big Data Hub

Today’s healthcare providers use a wide variety of applications and data across a broad ecosystem of partners to manage their daily workflows. Integrating these applications and data is critical to their success, allowing them to deliver patient care efficiently and effectively. Despite modern data transformation and integration capabilities that made for faster and easier data exchange between applications, the healthcare industry has lagged behind because of the sensitivity and complexit

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SSD vs. NVMe: What’s the difference?

IBM Big Data Hub

Recent technological advancements in data storage have prompted businesses and consumers to move away from traditional hard disk drives (HDDs) towards faster, lower-latency solid-state drive (SSD) technology. In this post, we’re going to look at this new technology, as well as the fastest and most popular protocol available to connect it to a computer’s motherboard— non-volatile memory express (NVMe).

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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.