#StreamBase

[dromologue]

Stream processing has existed for decades. The adoption grows with open source frameworks like Apache Kafka and Flink in combination with fully managed cloud services. This blog post explores the past, present and future of stream processing, including the relation of machine learning and GenAI, streaming databases, and the integration between data streaming and data lakes with Apache Iceberg. The post The Past, Present and Future of Stream Processing appeared first on Kai Waehner.

[sketchbuddy]

@bamsara SKYRIM + TROD TALKING STREAMBASED HIGHLIGHTS SKETCHES

it's about this bam's skyrim stream

i am still buzzing after yesterday god thank you bam for answering my questions on trod au i am so happy you feed me so much lore please continue your hard work!!! i really hope i wasn't too much overbearing

also if you like cult of the lamb and interested and narilamb please please check out their fanfic that we discussed in stream it is very interesting and full of character study and lore and funny moments and just so good!!! And if you have time, check out their other works on ao3 too!!

other doodles related to stream:

[strategictech]

Introducing The Streaming Datalake

In this contributed article, Tom Scott, CEO of Streambased, outlines the path event streaming systems have taken to arrive at the point where they must adopt analytical use cases and looks at some possible futures in this area. 

@tonyshan #techinnovation https://bit.ly/tonyshan https://bit.ly/tonyshan_X

[getupmychain]

AI & Big Data Expo: Maximising value from real-time data streams

🚀 As the wave of digital transformation sweeps across industries, it's clear that real-time data streams are the surfer's paradise! As companies begin to realise the goldmine they're sitting on, enterprise streaming analytics firm, Streambased, is riding the wave to help them uncover valuable insights. 📈 🔍 In a recent interview at the AI & Big Data Expo, Streambased's founder revealed how their technology allows businesses to extract impactful insights from continuous operational event data. This got me thinking about how freelancers could benefit from similar insights. 🤔 💡 Imagine if you, as a freelancer, could tap into a platform like UpMyChain to gain real-time insights about your business, your clients, and your market. Would that be a game-changer or what? 😎 👉 So why not go ahead and create your freelancer profile on https://upmychain.com? It's time to ride the data wave and supercharge your freelance business with insights that matter. #freelance #freelancer #businessonline #remotejobs Source: AI News [https://www.artificialintelligence-news.com/2023/12/19/ai-big-data-expo-maximising-value-real-time-data-streams/]

[jcmarchi]

AI & Big Data Expo: Maximising value from real-time data streams

New Post has been published on https://thedigitalinsider.com/ai-big-data-expo-maximising-value-from-real-time-data-streams/

AI & Big Data Expo: Maximising value from real-time data streams

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As digital transformation accelerates across industries, more and more companies are recognising the untapped value in their real-time data streams. Enterprise streaming analytics firm Streambased aims to help organisations extract impactful business insights from these continuous flows of operational event data.

In an interview at the recent AI & Big Data Expo, Streambased founder and CEO Tom Scott outlined the company’s approach to enabling advanced analytics on streaming data. At the foundation of Streambased’s offering is Apache Kafka, an open-source event streaming platform that has been widely adopted by Fortune 500 companies.

“Where [Kafka] falls down is in large-scale analytics,” explained Scott. While Kafka reliably transports high-volume data streams between applications and microservices, conducting complex analytical workloads directly on streaming data has historically been challenging. 

Streambased adds a proprietary acceleration technology layer on top of Kafka that makes the platform suitable for the type of demanding analytics use cases data scientists and other analysts want to perform.

Because these continuously flowing event streams power critical operational systems and core business functions, data quality must already meet high standards in terms of accuracy, timeliness, and structure. By leveraging these existing Kafka data pipelines, Streambased ensures its analytical capabilities have access to up-to-date, clean and well-organised data.

Use cases that showcase the power of Streambased’s approach include fraud detection in financial services. If an anomalous transaction occurs, analysts can quickly query similar or related transactions to investigate – which would be difficult and inefficient to accomplish with a pure streaming architecture. Streambased’s optimization for analytical interactivity enables users to rapidly gather contextual insights without disrupting their workflow.

The convergence of operational and analytical data platforms represents an impactful trend that Streambased calls the “streaming data lake” movement

“I think we are at the period of the streaming data lake movement. And by a streaming data lake, I mean a complete convergence between data systems that we use for analytical purposes and data systems that we use for operational purposes,” explains Scott.

Recent enhancements like infinite data retention in Kafka and native streaming analytics services lay the foundation for this new paradigm. For now, Streambased remains focused on empowering business analysts through frictionless self-service access to granular real-time data, without requiring changes to existing tools and processes.

You can watch our full interview with Tom Scott below:

[embedded content]

(Photo by Robert Zunikoff on Unsplash)

See also: AI & Big Data Expo: Unlocking the potential of AI on edge devices

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with Cyber Security & Cloud Expo and Digital Transformation Week.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: ai & big data expo, analytics, apache kafka, big data, data analytics, data lake, enterprise, event streaming, streambased, tom scott

[sbhhhnm]

今日はStreamBaseの7周年記念です!!

[rocketpunchriot]

ＢＲＵＴＥ・ＪＵＳＴＩＣＥ！ ＢＲＵＴＥ・ＪＵＳＴＩＣＥ！ ＢＲＵＴＥ・ＪＵＳＴＩＣＥ！ ＢＲＵＴＥ・ＪＵＳＴＩＣＥ！ ！

A primarily-streambased commission.

Commission information - Picarto - Patreon

[releaseteam]

via Twitter https://twitter.com/releaseteam

[jobisite2]

job Tibco Streambase Developer

job Tibco Streambase Developer

from Twitter Search / vinay_145 https://twitter.com/vinay_145/status/996938930472833025

[jobisitejobsusa]

Tibco Streambase Developer

Position: Tibco Streambase Developer Location: Houston, TX Duration: 12+months   Responsibilities: Tibco Stream Base Analytics Kindly revert me back with below details to submit the profile....!!!!                                                                       Submission Details Full Name: Contact: Email: Skype Id: Current location: Open to re... from Job Portal http://www.jobisite.com/sj/id/9034582-Tibco Streambase Developer

[jobisite]

Tibco Streambase Developer https://t.co/FR1CZKOHGd Streambase Developer

Tibco Streambase Developer https://t.co/FR1CZKOHGd Streambase Developer

— Jobisite (@JobisiteUs) May 17, 2018

from Twitter https://twitter.com/JobisiteUs May 16, 2018 at 04:06PM http://twitter.com/JobisiteUs/status/996934902091341825

[bigdatanewsmagazine]

AA Ireland turns to predictive analytics in fraud crackdown – ComputerWeekly.com

Dublin-based roadside assistance organisation AA Ireland is turning to data analytics technology to combat fraud.

The company, which offers home, motor and travel insurance, said fraudulent applications can add up to €50 to the cost of a typical motor insurance premium.

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The initiative will enable the organisation to analyse historic insurance quotes for discrepancies that could indicate fraud.

The same technology will allow AA Ireland – which has 350,000 customers – to adjust its pricing to changes in the market, optimise its prices for each client, analyse risks more effectively, and provide better management information, said Colm Carey, head of pricing and management information.

The project is expected to pay for itself within 18 months.

“Fraud is a huge issue in the industry – it probably adds €50 to every €700 policy,” said Carey in an interview with Computer Weekly. “It is one of the big call-outs and we need to get a lot better at using data.”

AA Ireland’s quantitative analytics team is building predictive models that will analyse customers’ quote history to identify attempts to manipulate quotes with false information to secure a better price.

“What we have found is that people who have manipulated a quote four times for specific factors had a 70% higher chance of getting into an injury claim,” said Carey.

The company plans to use a technique known as “fuzzy matching” to analyse a range of quotes to identify people who might have applied for quotes using slight variations in their data, such as different spellings of their name or a different address.

“Fraud is a huge issue in the industry – it probably adds €50 to every €700 policy” Colm Carey, AA Ireland

The history revealed will allow AA Ireland to offer quotes that are more closely tied to the potential risks of each applicant.

“You might be looking back at five or six million records, fuzzy matching in a live environment, with no lag, to find all the quotes for a particular individual, see how they have manipulated quotes, and price effectively off the back of that,” said Carey.

AA Ireland expects to have its anti-fraud system up and running within 18 months.

Off the radar

The company had previously relied on software widely used by the insurance industry, Emblem, and Radar insurance pricing optimisation software, supplied by Towers Watson, to manage its product prices.

But the technology meant that each business unit operated independently,with little integration of the different stages of the insurance process.

The AA parent company sold AA Ireland to Carlyle Group & Carlyle Cardinal Ireland for €160m in July 2016, which necessitated splitting the firm’s IT system.

Carey said AA Ireland decided to take a risk by moving away from the industry standard software to software with more analytical capabilities.

It looked at four or five alternative software platforms and rated them against a 14-point checklist, which included the ability for the software to optimise pricing based on an analysis of customer data, and the ability to perform real-time analytics, with a maximum lag of 200 milliseconds.

The IT team quickly discarded two of software platforms because they could not operate quickly enough on the company’s existing hardware.

It selected software from Palo Alto supplier Tibco, choosing the company’s Insight Platform, a suite of tools that would allow AA Ireland’s quantitative analytics team to design and build predictive models with the ability to learn and improve their performance.

The AA had previously used Tibco’s software in 2015 to create an “integration layer” to allow its software platforms to exchange data more effectively.

Missing links

The project will allow AA Ireland to take a more coordinated approach by linking data from its call centre with its customer relationship management (CRM) software and pricing software.

“We were all going off and doing different jobs and not talking to each other – so we wanted to take a step back,” said Carey.

For example, under the current system, a sales director could decide to push through a large number of quotes to meet the sales quota in the same week that a large number of motor insurance customers are due to renew their policies – putting a strain on the call centre.

AA Ireland has gone live with dynamic pricing for new membership business, and is due to go live with membership and mid-term adjustments soon.

The organisation is able to calculate, on the basis of probabilities, what type of customer each person approaching the AA is, to advise how quotes should be priced and what type of discounts should be offered.

The software will compare the outcome predicted with what actually happened, allowing AA Ireland to optimise its pricing, for example to maximise profits or to maximise growth in the market.

Previously, the company had to update its pricing model manually every three to six months. In future, it will receive an automated report every week that will allow it to update its pricing in response to significant changes in the market. The software will also be able to learn and make adjustments to smaller changes in the market each day.

“Let’s say there was a specific insurer that stopped writing a particular age group or occupation,” said Carey. “Maybe we want to reduce our discounts because we don’t need as much discount to write that particular customer, and we can spin the discount better to bring in a different type of customer.”

Learning from the past

The project has enabled AA staff to understand the history of each customer, based on the type of vehicle breakdowns they have had, and previous conversations with the company.

Agents will know when customers have already told the AA they are not interested in particular products, and will not annoy the customer by offering the same products repeatedly.

“So you are trying to price the customer for what they actually really want,” said Carey.

The IT team had to meet a tight deadline to develop a dynamic pricing model on the new business platform before the company turned off its existing software in April 2017.

At the same time, the organisation was moving its servers and data warehouse from its former parent company.

“More time would have been good, but we really did not have the choice,” said Carey.

The project has meant that business units, rather than the IT department, will now be responsible for running pricing models.

“In the new world, the pricing team has become more a semi-pricing, semi-development, semi-user acceptance testing and semi-support team,” said Carey. “If something goes wrong, it’s on me, so it’s a lot more responsibility.”

That has led to some early discussions about the changing shape of the company, and what sort of people it should recruit in future.

“It needs someone who can take an automated report and understand it and then work off the back of that,” he said. “We have had conversations about what the business is going to look like in a year’s time – will we need the same sort of people?”

Carey said that the quantitative analysis team would increasingly take responsibility from other business teams for analysing data.

The work would free up the marketing team from having to manipulate and analyse data, to focus on generating more business, for example.

Learning IT speak

For AA Ireland’s quantitative analysis team, the biggest challenge was learning “IT speak” – the language of IT developers.

“It was a big challenge for us to learn how to use the software, how to develop in Streambase,” said Nina Jensen, senior quantitative analyst.

Tibco consultants came in to train the analysts, but after a few months the team could develop independently. “It was a very steep learning curve,” said Carey.

The team rebuild a version of Radar, to run in Streambase, in just three weeks.

AA Ireland is still in the process of separating from its parent company, but expects to complete the move to its own servers over the coming weeeks.

It has begun work on a project to feed call centre data from its Unify telecommunications software into Tibco’s data analytics tool, Streambase.

Due to be completed in the next 18 months, the move will allow the company to predict the capacity needs of the call centre every hour, every half-day, every week and every month, said Carey.

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Originally posted on http://ift.tt/2uSWajD

The post AA Ireland turns to predictive analytics in fraud crackdown – ComputerWeekly.com appeared first on Big Data News Magazine.

from AA Ireland turns to predictive analytics in fraud crackdown – ComputerWeekly.com

[martechadvisor-blog]

TIBCO Announces New Data Solution

TIBCO Software, an American company that offers analytics, integration, and events processing software for companies, announced the launch of TIBCO Spotfire Data Catalog – a data management and connectivity solution. With its help, IT teams will be able to provide integrated access to multiple big data sources for data scientists and business analysts.

The new offering constantly indexes data lakes and databases and applies algorithms for mining text for discovering relationships among documents and tables, as well as sentiment and concepts. These elements can be found as recommendations or in business user searches. Users can then choose to add to this virtual data mart and share a connection that would be analyzed by Spotfire.

Brad Hopper, VP of product strategy at TIBCO, stated that the Spotfire Data Catalog helps in the easy navigation of corporate data. He further added that the product enables users to break down the data silos and improve the value of their data assets.

TIBCO Releases New Version of its Streaming Analytics Solution

The company has announced that it is launching an updated version of its streaming analytics solutions, StreamBase 10. The offering clubs together the best of streaming and predictive technologies with standard practices for building and improving applications.

Mark Palmer, SVP and general manager of analytics at TIBCO, stated in a release, “StreamBase 10 re-imagines our industry-leading streaming analytics platform. At TIBCO, we pride ourselves on delivering solutions that enable companies to become digitally smarter. The on-demand scalability of StreamBase 10 provides our customers with the ability to ask, answer, and act on insights in real time, augmenting their results.”

The TIBCO StreamBase 10 is a unique platform that connects intelligence to drive operations or customer experience in real time. It is expected to help industry leaders address challenges associated with connected digital initiatives.

This article was first appeared on MarTech Advisor

[felightjobalerts-blog]

Software Paradigms walk-in on 27th and 28th May for Tibco Senior Developer Position for Mysore location

Software Paradigms walk-in on 27th and 28th May for Tibco Senior Developer Position for Mysore location

  Job Description: Willing to work on Maintenance & Support kind of project activities. Monitoring activities for 12×5 + 24×2 (weekend) including Night shift.   Skills: TIBCO BW; TIBCO BE; SQL; Oracle 10g; Webservice; SOAP; Basic Java. Tibco Streambase. Company :Software Paradigms (I) Pvt Ltd Website :www.spi.com Job Role :Tibco Senior Developer Eligibility :Any Graduate Experience :4 – 9 Years…