EdTech MOOC Q&A Session
- What is the name of the college that offers a course on financial forensics?
17 Universities in the USA offering Forensic Accounting degrees and courses
Top 50 Forensic Accounting Degree Programs (Bachelor’s)
Top U.S. Universities That Offer Forensic Accounting
- I have completed my bachelor’s degree in Electrical and Electronics Engineering. I want to choose Data Science in the MS program. What should I do to convince a Professor or University to get an offer letter?
Show your strong points illustrated by real-world examples with the Python source codes:
- Robotics and stock trading – Reinforcement Learning
- Python Automation Low-Code/No-Code
- Multi-Cloud Hardware and Infrastructure-as-Code (IAC)
- IoT Azure/GCP/AWS, edge computing
- AI-drive sustainable energy industry applications
Advanced Integrated Data Visualization (AIDV) in Python – 2. Dabl Auto EDA & ML
Deep Reinforcement Learning (DRL) on $MO 8.07% DIV USA Stock Data 2022-23
AI-Based ECG Recognition – EOY ’22 Status
Cloud-Native Tech Autumn 2022 Fair
EdTech for All: Free/Paid IoT Courses ’22
- What are the benefits of learning Financial Engineering with Python and R?
- Ease of use for beginners
2. Quick application development time
3. Plenty of online learning resources
4. Plenty of open-source community portals with data/code repositories and numerous advanced open-source libraries
5. Extensive data visualization support
- How can a business use data analytics to identify areas where customer conversion rates could be improved?
This is RFM, CLV, cohort analysis, and CRM
See real examples with source codes below
Applications of ML/AI in HR – Predicting Employee Attrition
A K-means Cluster Cohort E-Commerce
Simple E-Commerce Sales BI Analytics
AWS Breakfast Webinar
Modern applications are the driving power behind your company’s transformation. Discover how customers are embracing quicker time to value with VMware Cloud on AWS (VMC on AWS).
Join us for this online breakfast briefing webinar and learn how to adopt cloud faster and safer, using existing skill sets and processes, to accelerate business transformation. Experts from VMware and AWS will showcase how you can accelerate your cloud migration journey.
Tuesday 23rd of May | 10:00 – 10:50h CEST
Location: Online webinar
Register today and discover how you can:
- Migrate workloads in a fast, seamless and cost-effective manner with minimal risk .
- Leverage existing skills, tools, and processes
- Migrate, extend or protect applications from Ransomware and other disasters with no or minimal changes
- Lower costs – embrace enterprise cloud infrastructure with intrinsic enterprise resiliency, security, and optimization capabilities.
Register now to learn more and discover how VMware’s Cloud Smart strategy can help you get the most value out of your multi-cloud environments.
DevOps.com RoundUp: Monday, 1 May 2023
- DevOps Onramp 2023 – you’ll find everything you need to get started with DevOps—best practices, processes and tools and tips and tricks from experienced practitioners sharing their real-world experiences. We’ll go through the basics of DevOps, how to get started, how to choose the right technologies, common challenges and the benefits of DevOps.
- Majority of Organizations Report Benefits From Low-Code Platforms: Low-code development is one solution that could help tackle rising application backlogs. Low-code/no-code platforms use reusable components to help engineers (and citizen developers) construct functional applications and internal workflows. Many teams report they are using low-code to rapidly deliver new features. A recent study from Microsoft found that 89% of CIOs and IT pros said low-code is effective in increasing efficiency.
- How the ‘Great Rebalance’ Accelerates Low-Code/No-Code Adoption: In fact, IDC predicts that by this year, over 500 million digital apps and services will be developed and deployed using cloud-native approaches – the same number of apps developed in the last 40 years. The majority of these new apps will be targeted at industry-specific digital transformation scenarios and will define competitive requirements in every industry. Non-tech businesses look for approaches to accelerate new sources of sales or add new products to market more quickly. They need to exploit app development strategies that deliver results in days/weeks (not months/years).
- Latest Kubernetes 1.27 Release Provides More Control: an instance of in-place vertical pod autoscaling that is available in alpha and, in beta, the ability to schedule when a pod can be considered for scheduling and support for mutable pod scaling that might make it possible to one day employ lighter weight controllers. A read-write once access mode that restricts access to a storage volume to a single pod and an alpha node log accessed via the Kubernetes application programming interface (API) to make it easier to debug services while running is now in beta. The volume manager, also available in beta, has been refactored to allow the kubelet to populate additional information about how existing volumes are mounted during startup.
- 2023 Marks the Rise of Cloud-Native Platforms: new software is being built explicitly for the cloud computing paradigm. In contrast to legacy technology bred for traditional deployment styles, cloud-native infrastructure is designed to reap the benefits of the cloud like elasticity, scalability, high fault tolerance and availability. Common cloud-native technologies include things like serverless functions, microservices, containers and container orchestration and scheduling tools. For example, a CNCF survey found that 96% of organizations were either using or evaluating Kubernetes, arguably the most popular cloud-native framework. And analysts continue to forecast explosive cloud-native growth. According to Gartner, over 95% of new digital workloads will be deployed on cloud-native platforms, up from 30% in 2021.
- 10 Ways Cloud-Native Development Changes Cybersecurity: Everything-as-Code Makes AppSec Paramount, Attack Surfaces Are Bigger, New Architectures Need New Specialized Security Tools, On-Premises Security Tools Could Incur Huge Costs, Change is Constant, Threat Modeling Becomes Imperative, Developer-Centric Security Tools Become Crucial, Security Should Strive for Standardization, Security-as-Code Helps AppSec Keep up the Cloud-Native Pace, Continuous Monitoring Becomes Easier.
- Can ChatGPT Fix Bugs? ‘Wolverine’ Dev Says YES. Benj Edwards reports—“Developer creates “regenerative” AI program that fixes bugs on the fly”
- Predicting, Preventing and Resolving Incidents With AIOps: Launching AIOps requires a unique approach depending on your organization, its capabilities and needs.
- Harnessing the Power of AI Chatbots for Continuous Testing: The Urgency of Integrating AI Chatbots Into Continuous Testing
- Increasing complexity of software applications: Modern software applications are becoming increasingly complex, which makes manual testing time-consuming, error-prone and costly. AI chatbots can analyze vast amounts of data in real-time, identify patterns and learn from the testing process, making them invaluable for continuous testing.
- Fast-paced development and market demands: Today’s competitive market demands faster release cycles and shorter time-to-market. AI chatbots can help you accelerate testing and development cycles, allowing your team to focus on delivering high-quality software promptly.
- The growing importance of customer experience: AI chatbots can simulate user interactions and predict user behavior, helping to improve user experiences by identifying potential issues before they become real problems.
Database Virtualization – Driving the Next Big Transformation
Database virtualization is an automated and easy solution to the dataset bottleneck. By simplifying the creation and distribution of database replicas, DevOps teams will be able to create fully functioning virtual environments via a self-service process–allowing DBA teams to focus on more critical duties relating to production databases.
The first—and most obvious—advantage of this approach is the increased speed at which data is delivered. To keep DevOps teams productive and avoid the use of old, stale data, new environments need to be produced on demand. By integrating the production of new environments into the CI/CD pipeline, enterprises will be able to automate the process and provide DevOps teams with full autonomy. By cutting out the dependency on the DBA, teams will be able to access the data they need, when they need it.
Agility is fundamental to the success of database management. Each team requires an independent environment, unaffected by other use cases. The creation and supply of virtual databases allow for quick provisioning. Once created, these databases look identical to the original physical database and function completely independently of each other. Any changes made to a vDB remain unique to the environment it’s in.
As the need for data grows, so does the cost of storage. Creating a physical copy for each team and use case results in a significant storage footprint. This means that these datasets come with a hefty cost. However, the creation of virtual databases led to a dramatic decrease in storage needs. Where traditionally, physical datasets can weigh upward of several TB, vDBs only weigh a few hundred megabytes. Further, virtualization solutions also compress the weight of physical copies – such as the golden copy – actively decreasing the weight and cost of storage across all fields.
Secure the Database
Even after the database delivery problem has been solved, enterprises are faced with another major issue – security. With so many different teams accessing data in virtual and low-level testing environments, the risk of ransomware and other cyberattacks increases dramatically. Generally, the investment in securing non-production environments is significantly weaker than in production.
A common approach to address this issue is masking sensitive data so it is rendered useless to outside sources. However, traditional masking requires a data expert to manually sift through all existing data and implement data masking algorithms on any sensitive information found. This time-consuming solution creates a new data bottleneck. By automating the process and applying it to the golden copy, corporations can be confident that all vDBs created are completely secure and privacy compliant.
Database virtualization is the future of database replica management. Virtual databases are delivered in a matter of minutes, significantly accelerating the speed of delivery. These environments are easy to use, independent, and can be maintained via a self-service portal. The ongoing sync between the original database and the vDB ensures continuous access to the latest data without the need for timely or expensive processes.
Effective database virtualization will allow well-established enterprises to more easily compete against those agile startups that face significantly fewer barriers to entry.
Python Data Science Update April 2023
Our Top 10 Recent Posts
- Working with FRED API in Python: U.S. Recession Forecast & Beyond
- Advanced Integrated Data Visualization (AIDV) in Python – 2. Dabl Auto EDA & ML
- A Closer Look at the Azure Cloud Portfolio – 1. Essentials
- Joint Analysis of Bitcoin, Gold and Crude Oil Prices with Optimized Risk/Return in 2023
- Video Game Sales Data Visualization, Wrangling and Market Analysis in Python
- Advanced Integrated Data Visualization (AIDV) in Python – 1. Stock Technical Indicators
- Using AI/ANN AUC>90% for Early Diagnosis of Cardiovascular Disease (CVD)
- Eric Marsden’s Top 6 Reliability/Risk Engineering Learnings
- Overview of AWS Tech Portfolio 2023
- Gold ETF Price Prediction using the Bayesian Ridge Linear Regression
Gold ETF predicted price vs actual price Q1 2023:
Recent External Articles
- 10 Automated EDA Tools That Will Save You Hours Of Work
- Top 8 Python automation ideas and how to build them
- Risk Management Of Stocks Using Python
- Document based LLM-Powered Chatbot
- Classification — Predicting Customer Churn
- Credit Risk Modelling (Part II)
- Python News: What’s New From March 2023
- Using OrderedDict in Python
- E-book: Learn 8 Data Modeling Patterns in Redis
- The low-code lakehouse architecture guide (Prophecy/Databricks)
- Zero to one in Financial ML Developer with SKlearn
- Predicting Stock Prices Using Long Short-Term Memory (LSTM) and Python
- Subscriber Lifetime Value with Hierarchical Bayesian Survival Analysis
- SENTIMENT ANALYSIS | HOTEL REVIEW [Python-NLTK]
- Converting data into SQuAD format for fine-tuning LLM models
- 2_Data structures used in Algorithms
- Can ChatGPT Fix Bugs? ‘Wolverine’ Dev Says YES
- Predicting, Preventing and Resolving Incidents With AIOps
- New Relic Bets on AI to Advance Observability
- Tabnine Extends Generative AI Alliance With Google
Discover a step-by-step guide to developing deep learning models in PyTorch
Image Augmentation for Deep Learning with Keras
- OpenML Datasets
video-game-sales: Kaggle dataset containing a list of video games with sales greater than 100,000 copies.
Video Games Sales Growth $bn 2018-2025:
Energy Update April 2023
- Reuters: US oil & gas rig count falls for second week in a row – Baker Hughes.
- WSJ: Exxon Quits Drilling in Brazil After Failing to Find Oil
- Reuters: Energy buyout firm NGP eyes $7 bln Permian asset sales.
Total Energy Consumption 2021:
Investor Alert: Can New Technology Solve Solar’s Major Flaw?
Solar energy is one of the fastest growing sectors in the U.S. stock market, with a record amount of power installed in 2021.
Unfortunately, it has a major drawback… Traditional solar farms need up to 6 acres for just a single megawatt of power. Once the solar field is in place, that land can’t be used for anything else. Plus, it can lead to deforestation and wildlife habitat loss.
But what if solar installations could be designed to take up a fraction of the land space… work in urban and rural settings worldwide… and even increase power output compared to conventional technology?
* Elon Musk’s Startling Prediction About Solar Energy to Come True?
* Billions of Dollars Now Flooding Into This Renewable Energy Sector
- Solar energy is becoming one of the fastest growing sectors in the U.S. stock market. Solar energy production is expected to triple over the next five years after the recent passage of the Inflation Reduction Act.
- Unlike other sources of energy, solar photovoltaic (PV) technology takes sunlight and converts it into electrical energy.
- Photovoltaic solar energy, with panels made of semiconductor cells, is a true renewable energy source. We can never run out of solar energy. Its power can be harnessed anywhere in the world on a daily basis.
- Many Fortune 500 companies, including Apple, Amazon, Walmart, and other corporations are investing in solar to help save money over the long term.
- The U.S. General Services Administration (GSA) is committed to achieving 100% renewable energy on federal real estate by 2025.
- Consider that a 2021 Solar Futures Study by the U.S. Department of Energy set a goal for solar power to generate up to 45% of America’s electricity supply by 2050, compared to less than 4% currently. That’s a lot of room for growth!
- The Inflation Reduction Act of 2022 is a BIG DEAL for the Solar Industry.
- With this Act, the investment tax credit is now 30% – and will remain there until at least 2033. Larger projects of 1 megawatt (MW) or more can receive full benefit of the tax change as long as they meet certain conditions.
This map is published by the World Bank Group, funded by ESMAP, and prepared by Solargis.
Tech Round-Up 01’23
January 2023 Tech Round-Up Content: Business Headlines, Monthly Market Recap, R&D Trends, SaaS Products, Industry Case Studies, Training Opportunities, Upcoming Events, E-Tutorials, and More.
Zacks: Will Tech Stocks Bounce Back in the Next Bull Market?
- Technology stocks were red hot in the last bull market, widely outperforming every other sector for many years.
- But with the onset of the bear market, technology has gone in the other direction. In 2022, the tech sector fell by -28.2%, far more than the broad S&P 500 index’s -18.1% return. The tech-heavy Nasdaq fared even worse, posting a -32.5% loss.
- As of late December, the S&P 500 Information Technology sector traded at ~21x forward earnings, which even with 2022’s selling pressure still makes it more expensive than the broader S&P 500’s ~17x multiple. For investors to feel good about paying roughly 20% more for a tech stock versus the broader index, the earnings outlook would need to look promising. But for tech, it doesn’t – according to Zacks Investment Research, Technology earnings are estimated to decline by -19.4% in 2023.
SeekingAlpha: Tue, Jan 24, 1:26 PM
- Earnings season will kick into overdrive today as tech giants begin to report their quarterly results. Microsoft (MSFT) is scheduled to start the festivities after the bell.
- SA Marketplace author Dilantha De Silva recently discussed the long-term implications of the OpenAI investment and whether Microsoft can gain an edge over Google (GOOG, GOOGL). Also pay attention to Microsoft’s segment financials and recurring revenue growth momentum, according to contributor Business Quant, while Tradevestor says it is high time for a stock split.
TradingView: Tue, Jan 24, 6:39 PM
|Advanced Micro Devices Inc|
|The chips are(n’t) down|
|Analysts are feeling a lot more upbeat about the chip market, and it’s showing in their stock price.|
Earnings Jan 26:
INTC 29.92 USD −0.35 −1.16%
CPE Webinar: [Attack]tive Directory: How To Overcome Exploits and Prevent Attacks
March 30th @ 1pm ET
Active Directory controls access to critical systems and data for organizations around the world — but it is not always managed securely. That makes it a top target of attackers. Join us to learn from the experts how you can secure your Active Directory from end to end and gain peace of mind. Anthony Moillic (Field CISO EMEA/APAC at Netwrix) and Sander Berkouwer (CTO at DirTeam and 14-time Microsoft MVP) will explain how you can:
- Identify and mitigate AD security risks before attackers can exploit them.
- Promptly detect and contain active threats.
- · Quickly recover from incidents to ensure business continuity.
Continuous integration (CI) and continuous deployment (CD) are essential components of any product development workflow. CI is the process of automatically building and testing code changes, while CD is the process of automatically deploying code changes to a production environment. Both CI and CD help to ensure that code changes are deployed quickly and efficiently, with minimal errors.
Setting up a CI/CD pipeline can be a tedious and time-consuming task, particularly if you are not familiar with the required tools and technologies. However, using GitHub Actions can help to simplify and automate your CI/CD workflow, making it easier and faster to deploy your code changes.
GitHub Actions is a powerful tool that can be used to automate many different tasks, including building, testing and deploying code changes. In addition, GitHub Actions can be used to trigger other actions in response to specific events, such as when a code change is pushed to a remote repository. This makes it an ideal tool for automating your CI/CD workflow.
A Transformative Global Movement Enters Maturity
Since its emergence in around 2009, DevOps, as a coherent set of operating principles, has made a transformative impact on how information technology is delivered and operated. In contrast with previous approaches emphasizing specialization, separation of duties, and infrequent manual change, DevOps promoted collaboration, automation, and fast feedback. DevOps has become the default approach for most software-intensive organizations and is having an increasing effect on enterprise IT operating models. It continues to evolve, deepening and broadening its reach across platforms and practices, and remains an important global movement of great interest to digital and IT leaders.
- DevOps Creates Real Impact – Shorter time-to-market and Greater business agility/resilience.
- The Future Of DevOps: From Pilot To The Enterprise Operating Model
People will be organized around outcomes, Practices will overtake processes, which will automate even more deeply, Platforms will consolidate, extend, and deepen.
- Contributors: CloudBees Commonwealth of Pennsylvania Digital.ai DZ Bank Flexagon JFrog Transunion Thoughtworks
- Unstructured, ‘dark data’ accounts for 80% of all enterprise data, and it’s where some of your most valuable information is hiding out: in customer service interactions, employee feedback, reports, notes, RFPs and contracts and social media data. Unfortunately, turning it into valuable business insights remains a challenge. That’s why companies are turning to Natural Language Processing (NLP), and Forrester Research has named NLP a “Top 10 Emerging Technology to go Mainstream.” Watch expert.ai Webinar: 6 Tips for Text Analytics Success with NLP.
- NICE: Up your CX with AI-powered self-service.
- Webinar: Using Trained Machine Learning Predictors in Gurobi.
In recent years, machine learning has become a prevalent tool to provide predictive models in many applications. In this talk, we are interested in using such predictors to model relationships between variables of an optimization model in Gurobi. For example, a regression model may predict the demand of certain products as a function of their prices and marketing budgets among other features. We are interested in being able to build optimization models that embed the regression so that the inputs of the regression are decision variables, and the predicted demand can be satisfied.
We propose a python package that aims at making it easy to insert regression models trained by popular frameworks (e.g., scikit-learn, Keras, PyTorch) into a Gurobi model. The regression model may be a linear or logistic regression, a neural network, or based on decision trees.
- MarketingProfs: CEOs have recognized the strategic value and critical function that Marketing delivers for the company, and increased budgets reflect that faith: CMO budgets in 2022 increased to the equivalent of 9.5% of company revenues, up more than three percentage points from 6.4% in 2021, according to Gartner.
Businesses can scale up—or down—based on marketing needs
As the discipline of marketing has evolved into a critical function in the business, it has also increased in complexity. The chances of finding a hidden gem who’s a jack of all trades in the pile of resumes are incredibly slim. Instead, you find specific skill sets around digital marketing, content writing, search engine optimization, PR, and channel or partner marketing.
Nearly 60% of the workforce needs new skills to get their respective jobs done, according to Gartner; as marketing work has become more specialized, Marketing too is struggling with that challenge.
- Neo4j Graph Data Modeling Series & Introduction
- Neo4j Intro – Online from 12pm GMT/1pm CET on Thursday, 9 February
- Neo4j Graph Data Modeling – Online from 12pm GMT/1pm CET on Thursday, 23 February
- Jason @ ML Mastery: Training a PyTorch Model with DataLoader and Dataset
- Elastic Ebook: Search – The secret ingredient for a better website experience
In this ebook you’ll learn:
- Why organizations that go all-in on improving customers’ digital experiences are more effective
- Ways best-in-class site search and web performance can boost self-serve success, eliminate transaction errors, improve uptime, and help build trust in your organization
- Tips for measurably improving apps and websites for any use case without making changes to your tech stack.
- How comprehensive website monitoring can help you detect and resolve errors and slowdowns before your visitors become aware of them
- How non-tech teams can pair search analytics with customer insights to maximize website effectiveness
- Why using a built-in web crawler is the easiest way to get better search up and running in no time.
- It’s still early days as far as deployments of Kubernetes at the edge are concerned, but the Linux Foundation predicts edge computing will be four times larger than the cloud, with 75% of data being generated globally by edge computing platforms by 2025. Gartner similarly predicts that by 2025 more than 50% of enterprise-managed data will be created and processed outside of a traditional data center or cloud computing environment.
- The primary driver of that growth is an increasing need to process and analyze data closer to the geographic location where that data is created and consumed. A very large percentage of the applications running at the edge will undoubtedly require instances of Kubernetes to process and orchestrate all the data being generated on these platforms.
- Join us for a half-day virtual event where we’ll deep dive into how developer-centric security solutions can reduce stress for developers, ops teams and security practitioners alike.
DevOps Institute SKILup Amsterdam: Wednesday, February 22, 2023 at 5:00 PM to Wednesday, February 22, 2023 at 8:00 PM CET Observability of Kubernetes Goes Beyond Observing Health
Dr. Pierre Bonami and Dr. Simon Bowly will introduce a Python package developed by Gurobi that easily integrates regression models – trained using popular frameworks such as scikit-learn, Keras and PyTorch – into a Gurobi optimization model.
8AM to 6PM (SGT), FRIDAY, 10th FEBRUARY 2023
Best of 2022:
Weekly Newsletter Issue #19 – Tech Focus
Mon, Dec 26, 2022
Are you having difficulties getting data structures set up for your reports and dashboards? Does your organization lack the IT staff or skills to get fast responses to your requests? Then you need to learn about WhereScape.
Register and learn this excellent tool and how it can help you with:
- Slow or unresponsive IT data requests
- Outdated or nonexistent documentation
- Understanding the source to analytics lineage
- Cloudera: Change Data Capture with Kafka Connect
- Date: January 12th, 2023 Time: 10:00 AM GMT / 11:00 AM CET
In this webinar, you’ll learn:
- About the opportunity to transform batch systems to streaming data sources
- How to break down information silos and enrich your kafka topics
- How to build robust data pipelines with Cloudera Stream Processing
Databricks: Near Real-Time Anomaly Detection 19 January 2023 Live Online Event
|Solving anomaly challenges with the Databricks Lakehouse Platform|
|Whether in retail, finance, cyber security or any other industry, spotting anomalous behaviour as soon as it happens is an absolute priority. Without these capabilities, organisations may be subject to lost revenues, fines from regulators, and violation of customer privacy and trust due to security breaches in the case of cyber security.|
|Whether you operate in retail, finance, cyber security or any other industry, spotting anomalous behaviour is an absolute priority to avoid lost revenues, fines from regulators, and violation of customer privacy and trust due to potential security breaches. Please join us on 19 January 2023 for Near Real-Time Anomaly Detection With Delta Live Tables and Databricks Machine Learning, a webinar featuring Achraf Hamid, Data Scientist at Mailinblack, who will explore the importance of anomaly detection for digital native businesses. The session will also examine how to solve common anomaly challenges, and achieve a near real-time anomaly detection system using the Databricks Lakehouse Platform.|
AT&T PREMISES-BASED FIREWALL
WITH PALO ALTO NETWORKS
Manufacturing: A growing target for cyberattacks
Zero Trust by Zscaler
Cyber Insights Report 2022
- IT GRC Forum: CPE Webinar: Navigating the Impacts of Your Security Performance on Cyber Insurance January 26th @ 1pm ET
As companies look to gain or expand their cyber coverage and negotiate premiums, they need to effectively demonstrate their risk profile to insurers. By improving their cybersecurity strategy and showcasing the effectiveness of their program, companies have a better chance to get the right cyber insurance coverage at an ideal premium. In this webinar, hear from experts in the field of cyber insurance, and learn about:
- A cyber insurer’s strategy to underwriting policies,
- The top 10 concerns that cyber insurers have,
- How to strengthen your security posture to influence coverage.
Join this channel to learn best practices and insights on how to: containerize existing apps for increased cost efficiency, deliver new cloud-native and process-driven apps using microservice architectures, take an agile approach to integrate APIs and data, and do it all in a culture of collaboration using DevOps best practices.
As the popularity of cloud-native applications continues to surge, containers are becoming the preferred option to package and deploy these applications because of the agility and scalability they deliver. According to Gartner, “by 2022, more than 75% of global organizations will be running containerized applications in production.” The popularity of containers has also attracted the attention of hackers who are constantly looking for new ways to exploit them. Containers expand an organization’s attack surface and increase the risk to the applications they house. A comprehensive approach for container security is required to mitigate the risk to containerized applications and infrastructure.
In this webinar, we’ll outline the essential elements required to secure your container environments, including: • Understanding what containers are (and aren’t) • How to look at container security holistically • The top threats to container landscapes • Relevant case studies
Series: Deep Dives into the Forces and Industries Shaping Canada’s Future Economy
Featuring Mark Wiseman, Chairman of the Board for the Alberta Investment Management Corporation
Infrastructure for Sustainability, Innovation and Competitiveness
- Do we have the right energy infrastructure today to prepare us for the future of energy?
- Do we have enough manufacturing capacity, especially in critical products for the future economy?
- How innovative is the Canadian private sector? Are companies and startups receiving enough support to be at the cutting edge of innovation?
- Where is all our capital going? How do we get it to stay in Canada?
With increasing pressure to deliver value faster through the software factory, keeping an eye on quality will ensure that the risk your organization is exposed to is not increased by incomplete or hurried testing. This concern is amplified with a backdrop of macro-economic uncertainty. Balancing this is made easier by incorporating Agile testing constructs such as continuous testing. The challenge is delivering this value to an organization quickly and efficiently.
This program will explore this challenge. Marc Hornbeek, CEO of Engineering Devops Consulting, and Bob Davis, CMO of Plutora, will discuss actionable ways to immediately implement continuous testing within your value streams as the first step in a broader digital transformation.
- Understand the dynamic of the speed/quality trade off, and how continuous testing optimizes this
- Hear why continuous testing is important to accelerating your release throughput
- Learn what is needed to implement continuous testing
- See how you can address this quickly while also progressing on the implementation of a value stream management platform – one step at a time.
Wednesday, 14 December 2022
Weekly newsletter of #dighisci #DataScience #Stocks #AI #tech – Issue #18
- Stock Market Update, Algo Trading, Cybersecurity, Cloud-native Tech, SaaS, DevSecOps, ML/AI, APIs, Digital Marketing, Events, EdTech, E-Tutorials, and More.
Wednesday, 7 December 2022
Weekly newsletter of #dighisci #Data Science #Investments #tech – Issue #17
Featured Photo by Taryn Elliott
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