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Cyber Week in Review: August 26, 2022 – Council on Foreign Relations

Facebook and Twitter take down pro-Western influence campaign

Facebook, Instagram, WhatsApp, Twitter, and Telegram disrupted a pro-Western influence campaign focused on promoting U.S. interests abroad, according to a report from Graphika and the Stanford Internet Observatory. The accounts used in the influence operation targeted the Middle East and Central Asia, frequently criticized Russia over the war in Ukraine, and often shared content from U.S. government-affiliated news outlets such as Voice of America and Radio Free Europe. Some of the accounts appear to be part of the Trans-Regional Web Initiative, a propaganda operation run by U.S. Special Operations Command active for over a decade. The campaign is the first publicly known, U.S.-run influence operation on social media. The campaign does not appear to have been very effective, as most posts received only a handful of likes or retweets, and only 19 percent of accounts had more than one thousand followers.

Ransomware gang attacks UK water organization

The ransomware gang Cl0p said it had infected a major water treatment company, South Staffordshire Water, in the United Kingdom. Cl0p first infected the systems of South Staffordshire on August 15, although there was some initial confusion as the gang believed it had compromised the systems of a larger utility, Thames Water, which serves most of southeast England. Cl0p did not deploy ransomware on the network, citing ethical concerns, but instead stole data and threatened further consequences unless a ransom is paid. The hackers may have gained access to the industrial control systems of South Staffordshire. Attacks on water systems have become increasingly common in recent years, and in some cases these attacks could have caused active harm to civilians.

Lloyds of London Excludes State-Sponsored Cyberattacks from Insurance

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Lloyds of London, a major insurance market in England, announced that it will not allow insurers to cover catastrophic cyberattacks perpetrated by nation-states as of March 31, 2023. Lloyds currently defines a catastrophic cyberattack as an attack that will significantly impair the ability of a state to function or... that significantly impairs the security capabilities of a state. While some have praised the move to greater clarity on what will not be covered, others have noted that that Lloyds standard of catastrophic is vague and that cyberattacks are often difficult to attribute to a specific nation-state conclusively. In recent years, insurance companies have grappled with how to address major cyberattacks, and, in December 2021, Lloyds announced the exclusion of nation-state-led attacks from policies held in a small subset of countries, China, France, Japan, Russia, the United Kingdom and the United States, although it appears this exclusion has not been tested yet.

Former Twitter head of security turns whistleblower

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Twitters former head of security Pieter Zatko, also known as Mudge, filed a whistleblower complaint against the company earlier this week. Zatko made a series of claims about the state of Twitters security, including that Twitter unknowingly employs agents of foreign nations, deleted data may still be accessible, and that the loss of a few key data centers could permanently take down the entire site. Zatko also alleged that Twitters security practices violated an agreement with the Federal Trade Commission that prohibited Twitter from misleading user about its security or privacy practices. Zatko, who developed L0phtCrack in 1997, a password-recovery tool still in use in an updated form today, is well-respected in the cybersecurity community for his work over the past three decades. Zatkos disclosures will likely affect the court case between Twitter and Elon Musk over whether the tech entrepreneur can back out of his bid to buy the company without significant penalty, although experts are divided as to whether Zatkos disclosures will help or hurt Twitter.

Baidu unveils first quantum computer

Chinese internet company Baidu announced it had built its first quantum computer on Thursday this week. The computer, dubbed Qianshi, has a ten qubit processor, significantly behind Googles Sycamore at fifty four qubits, and Zuchongzi from the University of Science and Technology of China at sixty six qubits. Baidu said that it had also developed a thirty six qubit processor, although it appears that processor has not been used yet. Quantum computing has been a major research focus for China, the United States, and European Union in recent years, as each country has poured billions of dollars into research on quantum computing. The Biden administration recently announced a series of initiatives aimed at growing quantum research in the United States.

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Since 2018: Sprecher Road | Engineering – City of Madison, Wisconsin

The City of Madison Engineering Division is focusing on a number of projects to show what the City and Engineering has done Since 2018 when a flood devastated our community on Aug. 20, 2018. In this blog post, we spoke with City of Madison Engineering Division Stormwater Engineer Grant Pokos about the Sprecher Road Greenway improvements.

I think the main problem with the Sprecher Greenway was erosion from the existing greenway. With each rainfall, the regional water passing through here continued removing soil from this area and passing it downstream. A greenway in this condition will not fix itself, it will only continue to get worse.The continuing erosion changes the layout of the original channel and possibly affects bank stability in the greenway leading to further problems. This sediment sent downstream can plug up downstream culverts and fill existing ponds, channels and other waterways. This can change the existing sections of downstream waterways, slowing their ability to pass stormwater and possibly raising water elevations after storms.

We analyzed this area to create a model to understand how much stormwater was flowing to this area. Once we had that information, we were able to create a sustainable channel section for construction that would safely pass the water through. We were also able to use the information from the modeling to select riprap and matting areas along the channel to help avoid future erosion. Riprap is stone used to reinforce an area so that the soil wont be washed away. Matting is an engineered blanket that holds the soil and seed in place so grass and other vegetation can grow rather than being washed away. The backslopes leading to the channel were also softened from existing slopes to help avoid future bank erosion.As part of the construction, the overgrown vegetation was removed to allow for construction of the new channel. This gave us an opportunity to revegetate, or plant new currently with grass, and in the future, trees and shrubs in the area. The new vegetation added should allow for a more usable and sustainable greenway in the future. A maintenance access was also added as part of this project. This access will allow us to recognize potential problem areas before they become worse and maintain the greenway in the future.

There are different possible reasons that the erosion is happening in this area. The shear forces caused by storm events could be too high for the existing channel to stay in place. Over time, the greenway also became over grown, not allowing the vegetation that holds the soil in place to remain. Once these problems began, they wont reverse on their own.We improved this greenway to stop the problem from continuing, improve vegetation and to protect the downstream stormwater system from additional future sediment loads.

Its not finalized yet, but approximately $325,000.00. This is a joint project with the City of Madison and our partners in the Town of Blooming Grove. The cost was split proportionately with the Citys share coming from the Stormwater Utility fees.

"Discussions on this project started in early 2020 and the major portion of the design occurred in 2021. Construction began March 25, 2022, and the majority of the project is finished. There is still some vegetation maintenance and planting that will happen with this project.

This is important because erosion from this waterway affects every waterway downstream of it. As the flow characteristics of this channel changed, it changes the flow characteristics of the channels upstream and downstream from it. The longer that it went un-repaired the larger and more expensive the problem could have become.

Not only hydraulically was this area improved, but also we made this a better part of our stormwater system. The overgrown vegetation was removed and the area will be replanted to create a beautiful and sustainable area for years to come.

This content is free for use with credit to the City of Madison - Engineering and a link back to the original post.

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Engineering team gathers data on Inland vehicle emissions – University of California, Riverside

A research project by a UC Riverside mechanical engineering team could play an important part in helping to reduce the impact of pollutants from vehicles.

The research team deployed weather towers, air samplers, balloons, and even drones to collect air samples in Riverside and Chino Hills in July and August. The researchers will analyze the data and submit it to the California Department of Transportation, or Caltrans, which will publish by the end of this year a report that it will share with the U.S. Environmental Protection Agency.

The project is a continuation of one begun in summer 2019 when the team placed weather towers and black tote cases containing the samplers around campus. Using UCRs proximity to the 215 freeway, researchers measured how roadside sound barriers might help reduce the impact of pollutants discharged by vehicles.

The team received a $550,000 research award from Caltrans to collect data to examine whether atmospheric dispersion models the mathematical simulation for how pollutants spread can predict the impact of noise barriers on air quality under real-world conditions.

That first part of the study focused on a site next to a freeway with one noise barrier and had positive findings, said Ranga Rajan Thiruvenkatachari, a graduate student in mechanical engineering and assistant project leader.

What we were able to see was at least a 50% reduction in concentrations next to the noise barriers so the noise barriers had a positive impact on air quality near them, he said.

The team had planned to continue the research in 2020, also collecting data in areas without a noise barrier and with noise barriers on both sides of the road. However, as the project involved field work by undergraduate students, it was delayed due to the pandemic.

Javier Gonzlez-Rocha, a UCR Chancellors Postdoctoral Fellow in mechanical engineering and lead project manager, and Thiruvenkatachari began preparations earlier this year to resume the project. They hired and trained 18 undergraduate students to help conduct the research at two sites.

We had a very motivated group that was excited about this project, Gonzlez-Rocha said. They were able to see the research is able to impact communities.

While others have studied the impact of noise barriers in reducing air pollution under idealized conditions like wind tunnels, Rocha said their study is unique in analyzing vehicle emissions in real-world conditions.

The first site, with no barriers, was along Chicago Avenue in Riverside with air samplers and weather towers placed between 3 to 200 meters away at UCRs Agricultural Operations site. Four vehicles outfitted with systems that release low quantities of a trace gas drove up and down the corridor for 2 -hour periods over three days. Tests were conducted both during the day and night to account for different atmospheric conditions, Rocha said.

The tote boxes deployed along the road collected air samples via pumps that filled plastic bags with air. Researchers took those samples to a lab at the Center for Environmental Research and Technology, or CE-CERT, for analysis. Researchers also used a balloon filled with helium and a drone at higher elevations to collect wind, temperature, and air composition data.

Similar data was collected along Highway 71 in Chino Hills, a location with noise barriers on both sides, over two days.

The research team is now in the process of analyzing the data and conducing a quality assessment, before submitting its findings to Caltrans.

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Engineer excitement: RHIT welcomes Class of 2026 during move-in day – Terre Haute Tribune Star

Ellie Goodwin, an incoming freshman at Rose-Hulman Institute of Technology, represents the third generation of Goodwins to attend the college.

Her dad, Pat Goodwin, is a 1995 civil engineering alumnus, and her late grandfather Max Goodwin was a 1963 physics graduate.

She plans to follow in her fathers footsteps and major in civil engineering.

I hope she gets a lot better grades than I did, quipped Pat Goodwin as he and his wife Marti helped their daughter move into Percopo residence hall Friday. Shes a much more serious student than I ever was.

Ellie Goodwin, a Terre Haute North Vigo graduate, is Rose-Hulmans first Hannum Scholar, which goes to graduates of Vigo County high schools and covers a students full tuition for four years.

Tribune-Star/Joseph C. Garza Rose-Hulman legacy: Marti Goodwin, left, and Pat Goodwin, right, helped their daughter, Ellie Goodwin, move into her Rose-Hulman dorm room on Friday. Ellie is following in the footsteps of her father and grandfather, Max Goodwin, by attending Rose-Hulman.

To qualify, students must meet Rose-Hulmans academic entrance requirements, rank in the top 5% of their graduating class and be accepted into the Noblitt Scholars program.

Ellie said its been her goal for many years to attend Rose. Its kind of crazy, but Im actually moving in today, she said. Im excited. Im a little nervous. But Im only 15 minutes from home. Thats kind of nice.

Ellie Goodwin joined more than 600 other first-year students on move-in day at the college Friday.

According to Rose-Hulman, this is the second consecutive year and only third time in school history that the institute has enrolled more than 600 first-year students. Total enrollment is expected to be around 2,150.

Were pretty full on campus, said Tom Bear, vice president for enrollment management.

Among the highlights of the incoming class of 2026:

Students are coming from 42 states and 19 countries outside the United States both increases from last year.

The incoming students had standardized math and science test scores for college admission that ranked within the top 5% nationally.

Nearly one-third of this class is expected to be racially and ethnically diverse.

With move-in day, there always builds a lot of excitement with the first-year class coming in, Bear said. Among the things Rose-Hulman is celebrating is the diversity of the first-year class. Its both national and international.

The students come from countries that include Vietnam, South Korea, Italy, China and India.

We have made an effort to broaden our reach internationally, Bear said. Thats important to the learning experience for students, to have a broader spectrum from across the U.S. and the world.

Theres another welcome change this year.

Last fall, masking was required for indoor settings. Thats no longer the case. Isnt it a great feeling? Bear said. You can see it right now. People dont have their masks, theyre stopping, talking and engaging.

The college wants students to remain vigilant, but were expecting more of a return to normal, Bear said.

Meanwhile, in Baur-Sames-Bogart residence hall, Katie Kesterson brought her aquarium, complete with three fish, to make her residence hall room feel more like home.

Tribune-Star/Joseph C. GarzaLighthearted art: Katie Kesterson, 19, a freshman from Indianapolis, made her dorm room in the BSB Hall a little more cozy with some humorous animal portraits on Friday on the Rose-Hulman Institute of Technology campus.

On the wall, she hung humorous pet pictures she described as artsy but a tacky side of art. One featured a cow drinking a carton of milk with a straw, while another had ducks with snorkeling gear.

Anything that makes me laugh, said the optical engineering major from Indianapolis.

As she begins college at Rose-Hulman, Kesterson says she is super excited I never thought I would get this far. Theres just so much the next four years.

Her goal is to eventually work with lasers at Crane; she hopes to stay in Indiana.

Her roommate, Zoe Mintz, is from South Carolina. Before Mintz arrival, she asked about how many coats and blankets she would need to be fully prepared for Indiana winter weather.

Mintz, an electrical engineering major, spent five weeks at Rose-Hulman this summer for an advanced math and physics program.

She hopes to work in the astrophysics industry. I want to build telescopes or satellites, or something to look at the stars with, Mintz said.

Rose-Hulmans new student orientation will continue through Wednesday and classes start Thursday.

Sue Loughlin can be reached at 812-231-4235 or at sue.loughlin@tribstar.com Follow Sue on Twitter @TribStarSue.

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Why security chaos engineering works, and how to do it right – TechTarget

For many, security isn't the first thing that comes to mind when they hear about chaos engineering. It's likely that even fewer would consider it as a fundamental security practice on par with things like network firewall configuration, identity management and intrusion detection.

However, the growing complexity of modern software security layers alongside increasingly modular and distributed architectures has reached a point where the risk of failure validates the legitimacy of chaos engineering as a security tool. As such, it's not unlikely that chaos engineering may enter the realm of not just routine -- but essential -- security management processes.

Let's examine the reasons chaos engineering is gaining traction as a security management method, detail the way its applied in security scenarios and review some of the best practices to follow when putting it into practice -- including some of the common pitfalls to avoid.

Chaos engineering is a broad term that describes the act of performing complex systems tests by injecting failures before an application encounters them in normal operations, monitoring the outcomes and documenting the right course of action. The concept of chaos engineering is often applied to operational hardware -- including networks and server pools -- as well as software development and product testing.

Chaos might not sound like the sort of thing a security specialist or compliance team would want to cultivate within their software systems. The goal of chaos engineering, however, is to prevent chaos by identifying inconspicuous problems and potential failures before they occur in production. And, as the practice matures, chaos engineering is garnering more attention in the field of application security.

By performing chaos engineering on the security layers directly, security specialists gain an opportunity to broaden the number of situations and attack vectors they are capable of simulating. Additionally, it allows them to test how the relationships between each of the multiple layers and features affect the impact of a certain failure. Eventually, this will reveal areas where security layers fail to create an effective barrier against attacks and intrusions.

Chaos engineering testing for security is a matter of balancing two layers. One layer handles the injection of faults; the other is where the monitoring and resolution processes take place. For example, one layer will inject test data to simulate unauthorized access attempts. The other layer will identify issues by watching for signals of security breaches, allowing security teams to locate gaps in access controls.

If those injections induce a failure or reveal a hole in any existing security barriers, the monitoring process should identify the exact point and time where the problem or breach occurred. Logs and monitoring data from the application infrastructure side, along with the log of injected security-based faults, will also help correlate any problems related to infrastructure that may pose a security threat.

While it's possible to apply chaos engineering to the security and infrastructure separately, this would likely be a mistake. Security breaches can come about not just due to unexpected events indirectly linked to security or threat-prevention tools, but as a result of events in IT infrastructure. For instance, faults in infrastructure often trigger systems to run in a "failure mode" that may not break functional elements. Instead, it may provide a potentially unwanted bypass for certain security elements to allow for fixes.

When conducting chaos-style testing, it's important not to fall into the trap of focusing on common, predictable problems. Instead, try to shift focus toward problems that are, although unlikely, at least a possibility.

In fact, chaos engineering naturally demands testing faults that would be introduced because of both human errors and system failures. Because the goal is to create "chaos," constraining it to predictable behavior contradicts the goal. As such, test injections that introduce high levels of random faults are typically the most effective.

Monitoring is the other key element of chaos engineering, especially when it comes to security validation. Ideally, the sheer volume of test data and possible event combinations and interactions make it very unlikely that most faults aren't replicable. This highlights the critical importance of data: If all the possible information needed to identify and remedy a problem isn't gathered during routine testing, the entire process will waste a lot of time and money.

Logs and telemetry from both infrastructure and applications are a big part of meeting this requirement, as well as accurate information regarding the injected events. Precise and synchronized timestamps are particularly critical because without them, there's no way to reliably document the relationships between certain causes and effects. It's the connection between chaotic events and bad outcomes that make chaos engineering worthwhile, which is easy to lose when there's a lapse in exact time records.

The final key element of chaos engineering revolves around the individuals responsible for it. Security staff can't conduct chaos engineering reviews effectively in isolation, because they probably can't accurately recreate underlying system faults that trigger unexpected failure modes that provide a bypass around certain security measures.

To be effective, chaos engineering requires a cooperative effort between operations personnel and security teams. It's important to establish this cooperative model from the outset when implementing such a program, and equally important to carry it through the resulting test design, execution and evaluation processes.

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‘A diversity of career paths’: TrackOne program lets first-year U of T Engineering students keep their options open – University of Toronto

WhenSelina Tongwas in high school, she didnt know what she wanted to study at university.Her strongest subjects were math and science, so she debated between business, architecture and engineering.

While she was exposed to the latter field from an early age her father is an electrical engineer, and her sister went into computer engineering she says she stilldidntknow what people did in the profession.

To keep as many doors open as possible, Tong ultimately decided to enroll in theTrackOne programoffered by the University of Torontos Faculty of Applied Science & Engineering. The undeclared first-year program allows students to explore the many fields of engineering offered at U of Tbefore choosing a disciplinary major at the end of the winter term.

I was uncertain about my future, but I knew that getting an engineering degree would open up more possible career paths, says Tong, who is now a fourth-year industrial engineering student.

The skills you can gain are so vast that you have a lot of options if you decide that you dont want to be a professional engineer.

TrackOne students take courses that prepare them to join anyCore 8 program chemical, civil, computer, electrical, industrial, materials, mechanical or mineral engineering for the remaining three years of their BASc degree and have the support of a dedicated TrackOne adviser.

These are not students who cant make up their minds. They know they are interested in engineering, but want to keep their options open to make an informed decision, saysSusan McCahan, a professor in the department of mechanical and industrial engineeringwho currently serves as U of Ts vice-provost, academic programs andvice-provost, innovations in undergraduate education.

We did find that quite a few students came in thinking they were going to pursue one program and ended up going into a different field one they may not have even known about when they were in high school.

McCahan, who served as chair of first yearwhen U of T Engineering admitted the first group of TrackOne students in 2007, witnessed an immediate sense of community among the group as they picked their ownEngineering Societyclass representative and organized social and networking events just like students in the Core 8 programs.

The first cohort of students decided that the magic eight ball was going to be their symbolbecause when you ask one a question and turn it over, it sometimes says, Ask again later, she says. And eight, because at the end of their first year, they pick one of the Core 8 programs.

Fourth-year U of T Engineering Selina Tong leads a Frosh Week group in September 2019 (photo courtesy of Selina Tong)

Samantha Butt, a third-year mechanical and industrial engineering student, says shehas always enjoyed being challenged academically, which is what attracted her to the idea of studying engineering.

I didnt know anyone who could tell me about the profession and what it could be, she says. I knew that engineers solve problems, and I consider problem-solving to be one of my greatest strengths.

After being accepted to U of T Engineering, she attended an event for female-identifying high school students called Girls Leadership in Engineering Experience (GLEE).

I saw firsthand how strong the U of T Engineering community is and that I would be amongst women who were also passionate about STEM, she says. I really felt like I belonged in this community.

Butt applied to TrackOne to give herself more flexibility and spend her first year of university discovering which engineering discipline aligned best with her interests.

When she took the Introduction to Engineering course (APS 191H1), she discovered how versatile each of the Core 8 programs could be. And even though she initially thought she would choose to study computer engineering, she was won over by mechanical engineerings mechatronics stream.

I learned about a fourth-year course called Mechatronics Principles (MIE 444), where you get to build a robot that navigates its way through a maze, she says. I remember being so mesmerized that I could have all the skills and knowledge to build something like that once I reached fourth year.

This summer, Butt is starting her Professional Experience Year Co-op Program (PEY Co-op) atSafran Landing Systems, an aircraft-equipment manufacturing company that produces landing gear, avionics and navigation systems.

Mechanical engineering has a lot of PEY Co-op opportunities within aerospace and I havent been exposed to the aerospace industry yet in any of my courses, she says.

Im really excited to see how I can apply what Ive learned in my degree and how I can learn even more from this opportunity.

Albert Huynh speaks at the TrackOne 10-year anniversary in 2017(photo byAlan Yusheng Wu)

AlumnusAlbert Huynh says heenrolled in TrackOne because he loves to collect input and information before making big decisions.

Having the option to delay the choice to pick a program while I learned more about the discipline was very much in line with my personality style, says Huynh, who ended up pursuing his degree in chemical engineering.

During that first year, Huynh was struck by engineerings focus on design and applying knowledge of mathematics, sciences and technology into ways that could solve global problems.His interest in sustainable energy led him to choose chemical engineering at the end of his first year, but extracurricular opportunities within the faculty would eventually ignite his passion for engineering education.

After his studies, Huynh spent six years working at theTroost Institute for Leadership Education in Engineering(ILead) at U of T Engineering. And this past July, he started a new role as theNorth American lead for learning experience design atShopify.

There are so many ways of approaching problems and designing solutions, says Huynh. Ive learned that the specific discipline you pick doesnt actually matter all that much in terms of where you end up, but rather determines the approach that you take.

As for Tong, she opted to study industrial engineering for its focus on human-centred design, and because it pairs well with a business minor. She completed her PEY Co-op as a trade floor technology consultant atScotiabankthis past spring, and is wrapping up an internship as a technical program manager atBrazein New York City this summer.

I was very attracted to the diversity of the degree, she says. I have been able to tailor my course selection to my interests, whether that be design, human factors or artificial intelligence.

While students choose a field of engineering to study at the end of their TrackOne year, what we really want them to know is that the field they choose will not necessarily dictate their career path, says McCahan.

There is a diversity of career paths open, no matter what field of engineering they choose.

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I quit my engineering job at 24 and now make $170,000 a year from my HOBBY but my move is dividing o… – The US Sun

A THRIFTY entrepreneur has quit her engineering job to pursue a side hustle that sees her earn around $170,000 a year.

Gabby Beckford made the decision to change careers at 24 in 2020 as she launched the travel blog Packs Light.

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She launched the site just a week before the Covid-19 pandemic hit and offers tips for youngsters and women who want to travel alone.

Beckford's articles and marketing opportunities helped her earn $170,000 but she was criticized for leaving her job as an engineer, CNBC revealed.

But, despite the criticism, she told the outlet that it was the best decision she made.

Beckford, now 26, said she doesnt allow herself to get down when someone questions her decision to change jobs.

She added: Dont take criticism from people who arent willing to bet on themselves and take a risk to pursue their passions in life.

Beckford works alongside a blog manager and contractors and she urged budding entrepreneurs who may be thinking about launching a similar platform to plan ahead.

When she launched the blog, Beckford admitted she didnt know how to grow her platform.

She said: I had to find mentors, ask questions and embrace failures.

Influencers have taken to TikTok where theyve revealed how they earned extra cash via a side hustle.

One social media user, known as Heather, earned $100,000 in just 3 months.

She said one of the major keys behind her success has been print on demand throughEtsy.

Ina recent video, Heather explained the upsides of utilizing print on demand.

The process allows sellers on sites like Etsy to sell products without printing, packing, or shipping any items.

Sellers can create and advertise custom designs on things like shirts, hats, or mugs, but don't need to own or create any physical inventory.

Once an order is placed, the printing and shipping of the product are handled by a third-party supplier.

Her side hustle sees her earn thousands of dollars in a month without having to leave the comfort of her own home.

Print on demand is also available for sellers on other platforms such asAmazonandShopify.

TikToker Jared Quackenbush createsmarketing campaigns for his clients.

He claims that he can make $450 in just 20 minutes by doing real estate videography.

Real estate videography is a handy marketing tool for realtors.

Quackenbush said that you dont need expensive equipment to start as his first clip was shot on an iPhone.

Meanwhile, entrepreneur Andrea De La Flor is an affiliate marketer and claims her side hustle earns her between$4,000 and $5,000 a week.

Affiliate marketing can be attractive to pursue because there are low costs and low risks attached.

You promote businesses products in return for a commission, according toAhRefs.

Experts have said all you need to do is create a website and the business is easy to upscale.

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10 Top Predictive Analytics Tools to Know – Built In

Running a business means crunching an endless flow of real time data. Sales percentages, ROI growth, customer retention rates these numbers can tell you a lot about where your company is at the present moment. But without organization, they wont be able to tell you where youre headed next.

The process of turning datasets into forecasts and decisions is a science: predictive analytics. A subset of advanced analytics, it is a form of data science that uses current data points to forecast the likelihood of certain events and give company leaders a blueprint to follow. Predictive analytics tools can be used to anticipate the success of future products, reduce customer churn and nip fraud in the bud. Every company from clothing retailers to airplane manufacturers needs to be able to turn data into actionable insights in order to maintain longevity and stay competitive with their peers.

More on Applying Data ScienceWhat Is Data Analysis? Learn How to Derive Key Insights From Your Data.

But making predictions and pulling meaning from a constant stream of digits and statistics isnt something any human can do alone. Luckily for everyone, there are tech tools available that can process even the largest amount of data sets and help leaders make informed decisions about the future of their companies. Below are 10 of the top predictive analytics tools on the market today.

Pricing: Individual plans start at $5,195 per user. Contact site for enterprise pricing

Alteryx is an end-to-end predictive analytics platform that incorporates machine learning principles to help clients easily build forecasting data models. Like other platforms on this list, Alteryx offers collaboration capabilities, but is also built so that users without a coding background can still access insights. The company also offers an analytics process automation platform so that users can unify all their data science and analytics operations in one central location, making monitoring and deployment more straightforward.

Pricing: Custom pricing is available, contact site for details

Adopted by Cisco, Dell, GM and other major companies, Emcien is a full spectrum predictive analytics tool that can integrate with platforms like Tableau and Salesforce to build comprehensive data forecasts. Emcien can turn raw data into business predictions to help customers reduce churn and improve their customer retention initiatives, making it more of an ideal tool for marketing and retail clients. The platform delivers predictions based on real time data and can organize insights into a variety of visualization formats beyond simple graphs, according to its website.

Pricing: Contact site for pricing

Specifically designed for the finance industry, FICO Predictive Analytics offers tools for tracking, modeling and forecasting financial and other relevant data, according to its site. Alongside its predictive analytics dashboard, FICO also offers a decision management platform for companies to manage governance and deal with risks to their datas security. The platforms focus may not make it ideal for customers in all industries, but FICOs services can support clients in healthcare, retail and transportation as well as finance, according to its website.

More on Data Science ToolsThe 7 Best Data-Visualization Tools Experts Recommend

Pricing: Free trial available, contact site for pricing

H2O.ai is a cloud-based predictive analytics tool that uses AI and machine learning technology to help customers build scale data models and forecast future data trends. The platform can handle data prediction types like metric learning, time series forecasting, text classification and regression, according to its site. H2O.ais advantage is its open source model, which makes it a more flexible and scalable solution than other proprietary models. Its AI capabilities can also predict bias in datasets and gives users the ability to control the parameters of their data analysis in case they want to hone in on specific small models.

Pricing: Contact site for pricing

Oracle Data Science is a comprehensive data tracking tool that can be used to organize existing data and transform it into predictive models so companies can make informed strategic decisions. Since Oracle DataScience is included in Oracles product database, users can also access the companys cloud and artificial intelligence tools as needed. In addition to constructing data models, Oracle Data Science users can also store datasets in the cloud for instant accessibility and synchronization across their orgs, according to the companys site.

Pricing: Standard license starts at $2,089 per user annually

Geared toward market researchers, Q Research is a data analytics and forecasting tool that can quickly record and interpret data automatically, according to its site. Datasets can be imported from Q Research to presentation platforms like PowerPoint, and users can view their data forecasts in different formats like predictive trees and cluster tables. Q Researchs existing client base includes household names like Amazon, Meta and Nielsen.

Pricing: Contact site for pricing

RapidMiner is a predictive analytics dashboard that is capable of forecasting, fraud detection, churn prevention and a variety of other data capabilities. Its data science platform gives users access to technology like AI app building, model creation and governance management, according to its site. RapidMiner also provides customers with a variety of plugins like Python scripting, web mining and text processing, and other extensions to amplify their data research.

Pricing: $22 monthly per user

SAP Predictive Analytics is a full spectrum analytics tool that allows users to build scale data models and trace connections between existing data to predict future business directions. The programs modeler tool lets companies look into regression, time series and clustering data models, which can be exported in a variety of formats, according to the companys site. It can also load data from a number of different sources including Microsoft Excel and SQL View. According to a review on peer tech review site G2, SAP Predictive Analytics users may need some technical expertise and prior training in order to take full advantage of the tool. This may make SAP Predictive Analytics less intuitive than other simpler platforms, but its advanced capabilities may make it an ideal solution for companies that need to perform more complicated data analytics tasks.

More on Data Science Applications22 Data Science Applications and Examples

Pricing: Contact site for pricing

SAS Advanced Analytics provides clients with tools to turn large amounts of data into large scale forecasts automatically with the help of AI technology. In addition to its predictive analytics services, SAS Advanced Analytics also offers text mining and data visualization tools to help clients take full advantage of their available data, according to its website. Marketed specifically for enterprise usage, it does feature built-in security features to help protect sensitive enterprise data.

Pricing: Plans starting at $25 monthly per user

TIBCO Statisticas platform is built with collaboration in mind, with workflow options that can be shared across multiple teams for heightened visibility. TIBCO Statistica doesnt offer an open source option, but can be scaled to take on both small and large datasets to generate different types of models, according to its website. The platform also offers IoT focused capabilities that other platforms do not. It also is built with open source functionalities to give clients access to a wider range of analytics functions.

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Unify your islands of information with a data fabric – TechNative

Every enterprise is under a mandate to be a data-first company by leveraging their data to compete on analytics.

As a result, analytics, AI, and machine learning (ML) have become core technologies for any data-first journey. However, many of these initiatives are failing.

Im sure you know or are experiencing the challenges responsible for these failures as well as the complexity they bring to every organization:

Exploding data volumes across a variety of types and formats

Rapid importance and growth in streaming data

Capturing data from new and emerging technologies then processing it in real-time, i.e., edge

These challenges are hindering data science and analytic teams because each of these locations has become an island of information that requires negotiation with each site owner before data can be accessed. And these information islands are growing in number making data unification and normalization a time-consuming task.

Find, interpret, and use data from anywhere

The answer is data fabric, an integrated layer (fabric) of data and connecting processes. It accelerates insights by automating ingestion, curation, discovery, preparation, and integration across islands of data. Data fabric is not a new technology but one that has become more important as organizations look to compete using analytics. Here are some things you should look for in a data fabric. A single solution should:

* Reduce the risk and costs associated with large analytic systems by integrating the components needed to access, land, process, and index data securely across multiple physical locations

* Increase productivity of data engineers and analysts by aggregating different types, formats, and systems into a single logical data store

* Simplify data access by connecting multiple clusters and physical locations through a single global namespace

* Reduce platform risk by replacing multiple tools and unique security integrations with a single enterprise security integration

An example of such a solution is the HPE Ezmeral Data Fabric, which enables customers to deploy a hybrid data backbone to provide frictionless access to their global enterprise. This single platform scales to exabyte levels, is optimized for high performance read/writes of both tiny and jumbo objects and increases productivity of data teams with a single logical data plane accessed globally through a single namespace. The built-in ecosystem provides data engineers and analysts with a choice of the most popular tools from the Apache Spark community. Support for a wide range of industry standard APIs enables data to be integrated into other systems, such as Apache Hadoop systems.

Integrate your islands of information

A data fabric replaces the complexity, risk, and cost associated with managing multiple unique tools and security systems with a single security integration that spans across on premises, multiple clouds, and edge. Industry analysts agree that becoming a data-first organization requires data fabric technology to provide a unified data layer to data science teams. It provides data consumers with consistent, governed, and performance-optimized data views, no matter where the data or user are located. The right data fabric can simplify all the capabilities your business needs to compete using analytics.

About the author

Joann Starke is senior product marketing engineer at HPE Ezmeral Software. Joanns domain knowledge and technical expertise have contributed to the development and marketing of cloud, analytics, and automation solutions. She holds a B.S. in marketing and computer science. Currently she is the subject matter expert for HPE Ezmeral Data Fabric and HPE Ezmeral Unified Analytics.

Featured image: Shutterstock

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Unify your islands of information with a data fabric - TechNative

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I Was There When: AI helped create a vaccine – MIT Technology Review

And that whole process from end to end can be immensely expensive, cost billions of dollars and take, you know, up to a decade to do that. And in many cases, it still fails. You know, there's countless diseases out there right now that have no vaccine for them, that have no treatment for them. And it's not like people haven't tried, it's just, they're, they're challenging.

And so we built the company thinking about: how can we reduce those timelines? How can we target many, many more things? And so that's how I kind of entered into the company. You know, my background is in software engineering and data science. I actually have a PhD in what's called information physicswhich is very closely related to data science.

And I started when the company was really young, maybe a hundred, 200 people at the time. And we were building that early preclinical engine of a company, which is, how can we target a bunch of different ideas at once, run some experiments, learn really fast and do it again. Let's run a hundred experiments at once and let's learn quickly and then take that learning into the next stage.

So if you wanna run a lot of experiments, you have to have a lot of mRNA. So we built out this massively parallel robotic processing of mRNA, and we needed to integrate all of that. We needed systems to kind of drive all of those, uh, robotics together. And, you know, as things evolved as you capture data in these systems, that's where AI starts to show up. You know, instead of just capturing, you know, here's what happened in an experiment, now you're saying let's use that data to make some predictions.

Let's take out decision making away from, you know, scientists who don't wanna just stare and look at data over and over and over again. But let's use their insights. Let's build models and algorithms to automate their analyses and, you know, do a much better job and much faster job of predicting outcomes and improving the quality of our, our data.

So when Covid showed up, it was really, uh, a powerful moment for us to take everything we had built and everything we had learned, and the research we had done and really apply it in this really important scenario. Um, and so when this sequence was first released by Chinese authorities, it was only 42 days for us to go from taking that sequence, identifying, you know, these are the mutations we wanna do. This is the protein we want to target.

Forty-two days from that point to actually building up clinical-grade, human safe manufacturing, batch, and shipping it off to the clinicwhich is totally unprecedented. I think a lot of people were surprised by how fast it moved, but it's really We spent 10 years getting to this point. We spent 10 years building this engine that lets us move research as quickly as possible. But it didn't stop there.

We thought, how can we use data science and AI to really inform the, the best way to get the best outcome of our clinical studies. And so one of the first big challenges we had was we have to do this large phase three trial to prove in a large number, you know, it was 30,000 subjects in this study to prove that this works, right?

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I Was There When: AI helped create a vaccine - MIT Technology Review

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