Fri.Sep 30, 2022

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Analysis of Australian Shark Attacks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Recently I searched for an interesting dataset to learn something new. After searching for a long time, I got a dataset on Shark Attacks in Australia. This dataset contains about 1,100 + shark bites and attempted shark bites between 1791 and early 2022, […]. The post Analysis of Australian Shark Attacks appeared first on Analytics Vidhya.

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What you need to know about IoT in enterprise and education

CIO Business Intelligence

What you need to know about IoT in enterprise and education . In an era of data driven insights and automation, few technologies have the power to supercharge and empower decision makers like that of the Internet of Things (IoT). . As the adoption of IoT devices is expected to reach 24.1 billion by 2030, forward-thinking organisations and higher education institutions are realising that IoT technologies are providing access to insights and making things possible now that were too expensiv

IoT 136
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Get to Know All About Evaluation Metrics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Evaluation metrics are used to measure the quality of the model. Selecting an appropriate evaluation metric is important because it can impact your selection of a model or decide whether to put your model into production. The mportance of cross-validation: Are evaluation metrics […].

Metrics 391
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A Year After: Has Blockchain Changed Advertising by 2022?

Smart Data Collective

Last decade made a pretty bold promise to digital advertising, which more than other industries suffers from insufficient transparency and a fraudulent environment. The IAB Tech Lab conferences , in particular, frequently gathered blockchain evangelists and ad tech experts who discussed how this technology would finally drive authentication to programmatic chains.

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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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7 Questions You Can Expect in Data Science Interview

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: DDI Introduction Data science job interviews need special skills. The candidates who succeed in landing employment are often not the ones with the best technical abilities but those who can pair such capabilities with interview acumen. Although data science is […].

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What Are the Most Serious Privacy Concerns Regarding Big Data?

Smart Data Collective

Given the growing importance of big data and the rising reliance of businesses on big data analytics to carry out their day-to-day operations, it is safe to say that big data has irrevocably altered the online world for anyone running a digital enterprise or an e-business. Big data’s invaluable insights are an essential factor in the success of enterprises.

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Re-Tooling Your Way to a More Efficient Enterprise

CIO Business Intelligence

To create a more efficient and streamlined enterprise, businesses often find themselves tempted to bring in brand new systems that promise major improvements over the status quo. This can be a viable strategy in some cases – and it will impress stakeholders that prefer to shake things up. But it comes at a cost. Swapping out the old for the new will require heavy doses of training to get everyone up to speed, and that’s just for starters.

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Out-of-Core ML: An Efficient Technique to Handle Large Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction We know that Machine Learning Algorithms need preprocessing of data, and this data may vary in size. If we do not have enough computing power to pre-process it, we can not proceed with analyzing it, and then the question is how to […]. The post Out-of-Core ML: An Efficient Technique to Handle Large Data appeared first on Analytics Vidhya.

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Lack of inclusive culture is driving UK youth from tech jobs

CIO Business Intelligence

Businesses must prioritise fostering an inclusive company culture in order to improve the professional experiences of young tech workers from underrepresented groups, according to Wiley Edge’s second annual ‘Diversity in Tech’ report. The report is based on a survey that asked UK respondents about their perceptions of the technology industry, to establish what is currently being done to actively improve diversity in tech teams, and where more work is still required.

Reporting 110
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Getting Started with Pandas Cheatsheet

KDnuggets

The latest KDnuggets cheatsheet aims to get you up to speed with introductory Pandas operations, and provide a handy reference as you work with the library. Check it out if you're interested in a quick start.

IT 104
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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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CIO Sabina Ewing on leading intentionally

CIO Business Intelligence

As global CIO and VP of business and technology services (BTS) for Chicago-based Abbott, Sabina Ewing’s IT work has helped facilitate a period of unprecedented growth for the global healthcare company over the past two years, including more than $45B in revenue in the past 12 months alone. Ewing is a visionary change leader and a master storyteller, as well as one of the most intentional leaders I’ve met in 30-plus years in this industry.

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Rejoice! The Vantage Analytics and Data Platform Provide Incredible Power for All in a “Cloudy” Environment

Teradata

With the release of VantageCloud Lake and ClearScape Analytics, Teradata brings a cloud-native architecture to extend the technical innovations and differentiators that Vantage is well known for.

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8 Ways to Improve Your Search Application this Week

KDnuggets

There are many places to start improving and optimizing and it’s easy to get bogged down. The good news is that there are several easy ways to improve your search application’s quality and performance.

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Announcing GA of DataFlow Functions

Cloudera

. Today, we’re excited to announce that DataFlow Functions (DFF), a feature within Cloudera DataFlow for the Public Cloud, is now generally available for AWS, Microsoft Azure, and Google Cloud Platform. DFF provides an efficient, cost optimized, scalable way to run NiFi flows in a completely serverless fashion. This is the first complete no-code, no-ops development experience for functions, allowing users to save time and resources. .

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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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Beyond Pipelines: Graphs as Scikit-Learn Metaestimators

KDnuggets

Create manageable and scalable machine learning workflows with skdag.

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Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). CDF-PC enables organizations to take control of their data flows and eliminate ingestion silos by allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination using a low-code authoring experience.

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SQL LIKE Operator Examples

KDnuggets

Search for the specific patterns in the SQL table using LIKE and wildcards.

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New Research: Rise and Risks From EU, U.S., China and Other Sovereign Data Strategies and Policies

Andrew White

Chief data and analytics officers face conflicting regulations impacting how to store, use, process, access, share, their business data. The regulations are coming from the EU, U.S., China, and many other regions. These sovereign data policies, and in some cases strategies, are growing in complexity and importance. It is therefore critical that CDAOs understand the opportunities and risks and take action accordingly.

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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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Managed IT Services Fail Mostly Due To 3 Reasons

BizAcuity

Anyone who has had to opt for managed services before is likely to tell you that it is extremely hard to find vendors, whether big or small and to trust them with the organization’s IT ecosystem. They often look out for those who can easily integrate into their system which may include the ones with. Good industry experience. Familiar with the tools.

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Data Science for Dummies

Dataiku

"How can you work with data scientists? You never liked math!".

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$100M+ ARR: Alation Achieves Centaur Status

Alation

Ten years ago, achieving unicorn status was a major milestone. When the term first debuted, just 14 companies were unicorns. Today, there are more than 1,000, with Alation joining the unicorn herd in June 2021. Why are we seeing more unicorns? The State of the Cloud 2022 report by Bessemer Venture Partners offers an explanation. In 2021, SaaS multiples hit all-time highs, with 520 new companies becoming unicorns that year alone.

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5 Ways Investors can Benefit your Cloud Startup

Smart Data Collective

The market for cloud technology is growing considerably. Ninety-one percent of companies are on the cloud. As this figure grows even further, the demand for cloud solutions will rise. Therefore, this is one of the best times to create a cloud business. However, there are a lot of challenges that you have to consider as well. One of the biggest is finding ways to fund your cloud startup.

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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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How Model Observability Provides a 360° View of Models in Production

DataRobot Blog

How do you track the integrity of a machine learning model in production? Model Observability can help. By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Tracking integrity is important: more than 84% of data scientists do not trust the model once it is in production.

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Turning insights into actions with IBM Business Analytics

IBM Big Data Hub

We are living in the age of the unexpected. The pandemic, regulatory changes, economic questions, and human resource and supply chain challenges are just some of the disruptions that have impacted organizations. Disruptions will continue to surface unexpectedly, leaving broad and lasting impacts on organizations and their ecosystems. The result is an increased pressure to make smart decisions faster and often against a moving target.

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Why Do I Love AI in the Contact Center? Let Me Count the Ways

CIO Business Intelligence

Your contact center serves as a key gateway through which customers interact with your brand, so you want to ensure that each customer’s interaction is smooth, fast, and informative. They should not only achieve their desired outcomes but have a positive experience along the way – one that makes them want to come back. . That’s why businesses are finding more and more ways to apply AI in their customer experience planning.

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Oracle Cloud Migration FAQs Answered by Angles

Jet Global

The move to the cloud continues at a fast pace. Increasingly, companies are replacing their on-premises Oracle software with Oracle’s cloud solution. Understandably, optimizing cloud investment remains a top priority to ensure your company does not fall behind. Cloud spend continues to rise as more enterprise platforms embrace the multi-cloud approach.

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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.