Tue.Jul 11, 2023

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Journeying Through Google’s Analytics and Data Science Domain

Analytics Vidhya

Introduction Introducing Rishabh Dhingra, a dynamic professional making significant strides in Analytics and Data Science within the prestigious realm of Google. With a wealth of expertise and an unwavering passion for harnessing the power of data, Rishabh has emerged as a driving force in leveraging cutting-edge technologies to extract valuable insights.

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Fearing the Wrong Thing

O'Reilly on Data

There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s Codey, or something similar. Matt Welsh has been talking and writing about the end of programming as such. He’s asking whether large language models eliminate programming as we know it, and he’s excited that the answer is “yes”: eventually, if not in the immediate future.

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A Comprehensive Guide to PandasAI

Analytics Vidhya

Introduction Generative AI and Large Language Models (LLMs) have brought a new era to Artificial Intelligence and Machine Learning. These large language models are being used in various applications across different domains and have opened up new perspectives on AI. These models are trained on a vast amount of text data from all over the […] The post A Comprehensive Guide to PandasAI appeared first on Analytics Vidhya.

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Synthetic Data Platforms: Unlocking the Power of Generative AI for Structured Data

KDnuggets

The article highlights various use cases of synthetic data, including generating confidential data, rebalancing imbalanced data, and imputing missing data points. It also provides information on popular synthetic data generation tools such as MOSTLY AI, SDV, and YData.

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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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Google’s Med-PaLM 2 to Be Most Advanced Medical AI

Analytics Vidhya

Google, one of the world’s leading technology companies, is taking a bold step into the realm of healthcare with its latest artificial intelligence (AI) program. To outpace competitors like Microsoft, Google has developed an advanced AI chatbot called Med-PaLM 2, specifically trained to tackle medical questions. This breakthrough technology has garnered attention from health systems […] The post Google’s Med-PaLM 2 to Be Most Advanced Medical AI appeared first on Analytics Vidh

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7 IT consultant tricks CIOs should never fall for

CIO Business Intelligence

Consultants aren’t always held in the highest regard. The 90% who are bad, the old joke goes, ruin it for the rest of us. Knowing the 90%’s tricks of the trade is the canny CIO’s first line of defense. Here are seven of the most pernicious consulting misdeeds you will encounter as an IT leader. 1. Fixing anecdotes Bad stuff happens in even the best-run IT organization.

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Harnessing Artificial Intelligence for Mental Health Management

Smart Data Collective

We have talked about the many industries that have been shaped by artificial intelligence. The healthcare industry is among them. In one of our articles, we mentioned that many nurses have used AI to provide better services to their patients. You might be surprised to learn that artificial intelligence is changing the mental health profession as well.

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DataHour: LlamaIndex QA System with Private Data and Effective Evaluation

Analytics Vidhya

Introduction Datahour is an online 1-hour web series by Analytics Vidhya, where industry experts share their knowledge and experience in data science and artificial intelligence. In one such session, Ravi Theja, an accomplished Data Scientist at Glance-Inmobi, shared his expertise in building and deploying cutting-edge machine learning models for recommender systems, NLP applications, and Generative […] The post DataHour: LlamaIndex QA System with Private Data and Effective Evaluation appe

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One weird trick to accelerate your organization’s generative AI strategy

CIO Business Intelligence

Bryan Kirschner, Vice President, Strategy at DataStax Ignoring the potential of generative AI to increase productivity is a surefire way to fall behind as an individual, a team, and an organization. You should put it to work as an “eager intern” or “autonomous agent” (or both) ASAP. But positioning yourself, your team, and your organization to get ahead requires some strategic thinking.

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All Your Online Posts Now Belong to the AI, States Google

Analytics Vidhya

In a recent update to its privacy policy, Google, often recognized for its robust AI tools, announced a noteworthy change. Specifically, the company clearly expressed its entitlement to collect and utilize almost all the content you share online to bolster its artificial intelligence capabilities. Within this piece, we shall delve into the consequences of this […] The post All Your Online Posts Now Belong to the AI, States Google appeared first on Analytics Vidhya.

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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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How Investec marries foundational and pioneering tech forces

CIO Business Intelligence

As CIO of Anglo-South African international banking and wealth management group, Investec, Shabhana Thaver has a multi-purpose approach to tech trends. On the one hand, there are foundational forces, which protect the existing business and include talent, information security and modernization. Then, on the other, there are pioneering forces, which drive business growth and include information, interaction and computation.

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How to Change Career from Mechanical Engineer to Data Scientist?

Analytics Vidhya

Data science has transformed the world and changed how we approach problem-solving. Given the high demand for data professionals, lucrative salaries, and growing career paths, professionals from different fields want to pivot their careers to data science. We can say the same for mechanical engineers. Transitioning from mechanical engineer to data scientist can be exciting, […] The post How to Change Career from Mechanical Engineer to Data Scientist?

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ESM Efficiency: How Balfour Beatty delivered a better digital employee experience for 21,000 users

CIO Business Intelligence

Balfour Beatty finances, develops, builds, and maintains vital infrastructure projects – such as airports, hospitals, schools, and office buildings – on three continents. The company was responsible for Britain’s largest road project, the £1.5 billion A14 improvement, and built the $429 million North Metro Commuter Rail Line in Denver, Colorado. It’s an enormous operation and, given the size and scope of Balfour Beatty’s business, delivering services to its 24,500+ global employees is complex.

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Bringing observability to business

IBM Big Data Hub

Applications are critical to the business. IT knows it, and the business knows it. Yet today, IT organizations lack visibility into the specific business processes those applications deliver and the context of how those processes are connected and impacted by the underlying container, cloud and infrastructure platforms they manage. Our customers have told us that it is imperative for SRE teams to have the tools they need to detect, identify and act on business operations incidents before they im

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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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New world, new CIO: How emerging realities are shaping the CIO’s job

CIO Business Intelligence

In a relatively brief time span, technologies like cloud, edge computing, artificial intelligence, and IoT have taken center stage, and new innovative technologies keep emerging. We’re now navigating a technological landscape that’s growing exponentially more complex and rapidly changing, one that increasingly exceeds the ability of human intelligence to keep pace.

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Building AI Products with OpenAI: A Free Course from CoRise

KDnuggets

Check out this free course from CoRise, in collaboration with OpenAI, on building AI products.

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The benefits of AI in healthcare

IBM Big Data Hub

Artificial intelligence is used in healthcare for everything from answering patient questions to assisting with surgeries and developing new pharmaceuticals, benefitting both patients and healthcare systems. How does artificial intelligence benefit healthcare? According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030.

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Why is DuckDB Getting Popular?

KDnuggets

DuckDB combines the simplicity and ease of use of SQLite with the analytical performance of specialized columnar databases. Learn more with Python examples.

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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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The Economy of Things: the next value lever for telcos

IBM Big Data Hub

Over the years, the Internet of Things (IoT) has evolved into something much greater: the Economy of Things (EoT). The number of connected things surpassed the number of connected humans for the first time in 2022. The number of IoT connected devices are growing in practically every industry, and is even predicted to reach 29 billion worldwide by 2030.

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Level up your React app with Amazon QuickSight: How to embed your dashboard for anonymous access

AWS Big Data

Using embedded analytics from Amazon QuickSight can simplify the process of equipping your application with functional visualizations without any complex development. There are multiple ways to embed QuickSight dashboards into application. In this post, we look at how it can be done using React and the Amazon QuickSight Embedding SDK. Dashboard consumers often don’t have a user assigned to their AWS account and therefore lack access to the dashboard.

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3 principles for regulatory-grade large language model application

CIO Business Intelligence

In recent years, we have witnessed a tidal wave of progress and excitement around large language models (LLMs) such as ChatGPT and GPT-4. These cutting-edge models can potentially transform industries, especially in regulated sectors like healthcare and life sciences, where they could be used for drug discovery, clinical trial analysis, improved diagnostics, personalized patient care, and more.

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Access Amazon OpenSearch Serverless collections using a VPC endpoint

AWS Big Data

Amazon OpenSearch Serverless helps you index, analyze, and search your logs and data using OpenSearch APIs and dashboards. The OpenSearch Serverless collection is a group of indexes. API and dashboard clients can access the collections from public networks or one or more VPCs. For VPC access to collections and dashboards, you can create VPC endpoints.

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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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Integrating Cloudera Data Warehouse with Kudu Clusters

Cloudera

Apache Impala and Apache Kudu make a great combination for real-time analytics on streaming data for time series and real-time data warehousing use cases. More than 200 Cloudera customers have implemented Apache Kudu with Apache Spark for ingestion and Apache Impala for real-time BI use cases successfully over the last decade, with thousands of nodes running Apache Kudu.

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Laminar Broadens Data Security for Multi-Cloud

Laminar Security

Launches Full Data Security Platform with Enhanced DAG and DDR Capabilities Laminar has unveiled groundbreaking advancements to its agile data security platform for multi-cloud. The introduction of new data access governance (DAG) and data detection and response (DDR) functionalities positions Laminar as the first solution on the market to offer comprehensive identification, protection, detection, and response capabilities for multi-cloud and SaaS data security.

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The power of collaboration: SAP celebrates its innovation award winners

CIO Business Intelligence

Better together In a time when organizations can seamlessly access the cloud to unearth tools like analytics and artificial intelligence (AI), “collaboration with customers and partners around the globe can drive sustainable, impactful innovation,” Timo Elliott, SAP’s global head of partner digital selling and marketing director, told the audience. Let’s think about the recent past – companies were largely reliant on the people skills of employees to ensure that customers had a pleasant experien

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Db2 Warehouse delivers 4x faster query performance than previously, while cutting storage costs by 34x

IBM Big Data Hub

Data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights. The next generation of IBM Db2 Warehouse brings a host of new capabilities that add cloud object storage support with advanced caching to deliver 4x faster query performance than previously, while

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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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Amazon Mexico FP&A dives deep into financial data with Amazon QuickSight

AWS Big Data

This is a guest post by Gonzalo Lezma from Amazon Mexico FP&A. The Financial Planning and Analysis (FP&A) team in Mexico provides strategic support to Amazon’s CFO and executive team on planning, analysis, and reporting related to Amazon Mexico. We produce and manage key finance deliverables, such as internal profit and loss (P&L) reports for all business groups.

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