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Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
engines. Some third-party tools enable you to submit your URL for inclusion in search listings. Still, another option is to buy ads on search engines to drive additional traffic to your site. Search engine marketing is a beneficial way to market your business online, and it can help you reach new | medium | 2,926 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
customers and grow your business. With the right approach, you can successfully connect with customers and prospects and generate leads that increase sales. Data-Driven Marketing With the advent of big data, marketers can leverage data analytics to make decisions based on customer behavior. As a | medium | 2,927 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
result, customers can be targeted based on their past shopping patterns, location, purchase history, search queries, etc. Data-driven marketing has been gaining steam. If you’re still not convinced, consider this: According to Nielsen, 72% of consumers use social media sites, including Facebook, | medium | 2,928 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
Twitter, LinkedIn, Pinterest, Google+, YouTube, Instagram, Snapchat, etc., to share information about products and services they use. So, what does this mean? More customers and better relationships with existing customers. 1. Customers share reviews and ratings about products and services. They | medium | 2,929 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
love being able to talk about their experiences online, so why shouldn’t we include customer testimonials in our digital ads? 2. Companies listen to feedback by collecting data on how people respond to their advertisements. For example, if you put up an ad promoting a particular product, you can | medium | 2,930 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
see which keywords were used to find that advertisement and then target ads to those exact keywords from now on. That way, when someone searches for “air conditioners,” you know exactly where to place an ad. 3. Advertisers see increased conversions because they have more accurate results based on | medium | 2,931 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
user behavior. Instead of guessing what might happen, advertisers can measure what happens after running an ad campaign. As a result, they can optimize campaigns and spend money more effectively. This shift towards data-driven marketing has increased sales and improved conversion rates. However, | medium | 2,932 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
collecting and making sense of this data can seem daunting. We will discuss some benefits of data-driven marketing, including: • Increased Conversion Rates • Better Customer Experience • Improved Productivity & Efficiency Let’s look at each point in detail. Increased Conversion Rates — The idea | medium | 2,933 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
behind data-driven marketing is simple: — collect information about your customers and use that to optimize your marketing efforts. When done right, it can lead to higher conversion rates. For instance, say you run a shoe store and want to increase conversions. With predictive analytics, you can | medium | 2,934 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
predict when a customer will buy shoes and place an order accordingly. Or you can identify customer trends like shoe sizes, genders, ages, etc., and use this data to personalize emails, ads, product recommendations, etc. You can also segment your audience by demographic groups and target specific | medium | 2,935 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
messages to them. Better Customer Experience — Customers expect personalized experiences. They want brands to understand them, anticipate their needs, and respond quickly to their questions. This leads to a better customer experience and happier customers. Data-driven marketing allows you to cater | medium | 2,936 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
to individual preferences and give customers exactly what they want. For instance, if you sell men’s clothing, you already know what colors your male customers prefer. But did you know that women usually wear darker shades? Using data-driven marketing, you can serve up relevant color options to | medium | 2,937 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
female shoppers. Improved Productivity & Efficiency — Businesses can save money, time, and resources by leveraging data analysis. For example, if you’re running out of stock in various products, you can use predictions from historical purchases to plan and ensure sufficient inventory levels. You | medium | 2,938 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
can also use data analysis to find opportunities for improvement within your operations. For example, if certain items are selling well but others aren’t, you can use data analysis to uncover reasons for the discrepancy. Armed with this information, you can adjust your processes, so that related | medium | 2,939 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
results occur again. There are many benefits to data-driven marketing, and it’s important to consider how to use data to improve your marketing strategy. Data can help you segment your audience, target your campaigns, personalize your messages, and measure your results. When used effectively, data | medium | 2,940 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
can help you create more successful marketing campaigns that achieve your desired results. Implementing Data-Driven Marketing To succeed in today’s digital world, businesses must embrace data-driven marketing strategies. In fact, according to research conducted by Hubspot, 93% of marketers say that | medium | 2,941 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
they are “increasingly reliant on data to make decisions.” For most small businesses, however, collecting and analyzing customer data is still seen as something only large corporations can afford. But the truth is, every company — regardless of size — needs to learn how to implement data-driven | medium | 2,942 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
marketing. Here are four reasons why every business owner should be learning how to collect and analyze customer data: 1. Customer Data Helps Businesses Grow Data-driven marketing allows businesses to understand their customers better, so they can grow and thrive. According to the Harvard Business | medium | 2,943 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
Review, successful brands “can connect the dots between the actions of individual consumers and the outcomes of entire industries. They can anticipate changes in consumer behavior before they occur and respond to these shifts quickly.” By collecting customer data, businesses can identify trends and | medium | 2,944 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
patterns that allow them to adapt and adjust accordingly. For example, when you see sales declining after a particular holiday season, you may decide to change the products you sell during that period. Or maybe you notice that your best customers tend to purchase specific items around tax day. You | medium | 2,945 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
can save money, attract new customers, and ultimately grow your business by taking note of these things. 2. Customer Data Can Help Companies Become More Profitable According to the HBR article mentioned above, successful brands can also predict future trends. You can plan when you can accurately | medium | 2,946 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
forecast demand for a product or service. And when you plan, you can ensure that you’re prepared to meet that demand. Another benefit of data-driven marketing is that it makes it easier to determine what customers truly value. Customer data can determine what motivates customers to buy your | medium | 2,947 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
products or services. Armed with that information, you can develop targeted marketing messages that resonate with your audience. 3. Customer Data Allows Brands to Stand Out Customers aren’t just looking for brands that offer quality products; they’re also looking for brands that stand out. That’s | medium | 2,948 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
why some companies spend hundreds of thousands of dollars per week advertising on social media platforms like Facebook and Twitter. Other companies invest millions of dollars in television commercials. Both methods provide valuable exposure, but they won’t necessarily capture the attention of | medium | 2,949 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
everyone who sees them. Instead, data-driven marketing allows you to target specific groups of individuals based on their interests, demographics, and behaviors. That means you can reach more people with fewer resources. Plus, since you’re targeting people with similar characteristics, you can | medium | 2,950 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
ensure that your message resonates with them. Not only does this help you gain new customers, but it also increases brand awareness among current customers. 4. Customer Data Makes Brands More Personal You can start building relationships with your customers when you collect customer data. That’s | medium | 2,951 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
because you can track everything about their lives, including what they read online, watch on TV, listen to on Spotify, and search for on Google. With all that information, you can create highly personalized customer experiences. That kind of personal touch is essential in today’s hyper-connected | medium | 2,952 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
society. People expect to interact with brands that care about them. And they’ll reward you with loyalty if you allow them to get to know you. So next time you think about investing in data analytics software, remember that every business needs to become more data-driven. Learn how to collect | medium | 2,953 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
customer data, analyze it, and turn it into actionable insights that drive growth. Conclusion In conclusion, using a mix of marketing techniques is always the best approach as it allows you to connect with your audience in several ways. It’s important to remember that not all methods will work for | medium | 2,954 |
Marketing, Marketing Strategies, SEM, Interaction Design, Data Visualization.
every business, so it’s necessary to experiment to find what works best for you. With the ever-changing marketing landscape, it’s also essential to keep up with the latest trends and technologies to ensure that you’re reaching your target audience in the most effective way possible. We are experts | medium | 2,955 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
How to observe Network connectivity status using Kotlin Flows and show it inside Compose UI? Monitoring Network connectivity status is a very common use-case, either we want to display current network status on the UI or to show a retry mechanism if the device is offline. This story will show code | medium | 2,957 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
examples about how to monitor and convert Network connectivity callbacks into callbackFlow and observe it into the UI layer to show updates inside Compose UI and in the end it will provide helpful Takeaways . Prerequisites This story requires basic understanding of following components Kotlin Flows | medium | 2,958 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
and callbackFlow Dependency Injection ( Dagger or Dagger Hilt) Basic understanding of Jetpack Compose What do we want to achieve? We want to create a Network Connectivity Service to achieve followings Monitor current Network Statuson device to know if device is connected to the Network or not. | medium | 2,959 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
Observe changes to the Network status in real time. Use Jetpack Compose API to show offline status inside the Compose UI. Let’s get to Network Connectivity Service. NetworkStatus As we want to read Network Status from the service. In order to expose Network Status from the service we will use a | medium | 2,960 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
sealed class holding that status information. See below the NetworkStatus sealed class. sealed class NetworkStatus { object Unknown: NetworkStatus() object Connected: NetworkStatus() object Disconnected: NetworkStatus() } Network Connectivity Service Let’s see the code first. | medium | 2,961 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
NetworkConnectivityServiceImpl is implementing an interface which is exposing networkStatus as Flow<NetworkStatus> . The service is using callbackFlow , callbackFlow is an ideal choice here. Whenever we want to convert any API callbacks into Kotlin Flow callbackFlow is the answer. callbackFlow | medium | 2,962 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
ensures that lambda remains active to be able to send data later-on during callbacks. It also provides awaitClose block to unregister listeners when callbackFlow closes. In lambda connectivityManager is registering to the network status callbacks. In each callback method it sends a NetworkStatus | medium | 2,963 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
using trySend . As mentioned before callbackFlow provides awaitClose block to unregister for the network changes. awaitClose will be called when callbackFlow is closed so we need to unregister for listeners. flowOn(Dispatchers.IO) is to make sure that calling networkStatus is main safe because we | medium | 2,964 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
will be calling it from the UI layer inside ViewModel. distinctUntilChanged() ensures that it sends new value only when Network Status changes to avoid sending unnecessary updates. In real cases that will usually be the case when you turn off the Airplane mode then you will get the callback | medium | 2,965 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
onAvailable twice, one for wifi and the other for cellular. Want to know in depth about callbackFlow? I have written a detailed story on callbackFlow , taking example of Firebase RealtimeDatabase callbacks and converting them into callbackFlow. If interested you can read from the link below. | medium | 2,966 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
callbackFlow with Firebase — converting RealtimeDatabase callbacks into callbackFlow In this story we’ll see callbackFlow in detail, when to use it and its possible applications.proandroiddev.com Using Network Connectivity Service in ViewModel. In order to provide current NetworkStatus for UI, we | medium | 2,967 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
will create a networkStatus property in ViewModel from where Compose UI will collect it. Exposing a property in ViewModel will look like below. Flow.StateIn operator is used to convert callbackFlow into StateFlow . NetworkConnectivityService will be injected as dependency inside the ViewModel | medium | 2,968 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
constructor, I am using Hilt, It’s up to you whatever Dependency Injector you want to use. initialValue inside Flow.StateIn is set Unknown because in the beginning when UI loads we will not know NetworkStatus and we don’t want to show any notification on UI setting default value to any of Connected | medium | 2,969 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
or Disconnected. Providing viewModelScope will bind Flow to the life-cycle of viewModelScope. WhileSubscribed is used to cancel the upstream automatically when there are no collectors collecting the flow. WhileSubscribed(5000) will wait for 5 more minutes after the last collector before closing the | medium | 2,970 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
upstream, It will avoid restarting the whole upstream flow unnecessary specially during configuration changes. Collecting Network Status inside Compose UI On the UI we will show notification when the device is offline using the snackbar. LaunchedEffect is the best choice here, I have written a very | medium | 2,971 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
detailed blog post about LaunchedEffect vs rememberCoroutineScope exploring and explaining When and How to use both APIs. I recommend reading it, link is below. LaunchedEffect vs rememberCoroutineScope in Jetpack Compose Deep-dive into Compose Side-effect APIs LaunchedEffect and | medium | 2,972 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
rememberCoroutineScope. Exploring differences and use-cases…proandroiddev.com Collecting networkStatus inside Compose UI looks like below. collectAsStateWithLifecycle is used to collect for networkStatus in Composable, This is life-cycle-aware API and is a recommended way to collect Flow inside | medium | 2,973 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
Compose. LaunchedEffect is used to execute a suspend function snackbarHostState.showSnackbar("message") only when networkStatus is in Disconnected state. LaunchedEffect launches coroutine within the scope of the composable where it is being used and cancels it when it leaves the composition so we | medium | 2,974 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
don’t need to worry about the life-cycle of coroutine being automatically managed. Takeaways callbackFlow is tailor built for converting any API callbacks into Kotlin Flow. Flow.StateIn converts cold flow into hot flow, in this example it converts callbackFlow into StateFlow . collect Flow in | medium | 2,975 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
Jetpack Compose in a life-cycle-aware manner via API collectAsStateWithLifecycle WhileSubscribed(5000) waits for 5 minutes before restarting upstream flow if flow does not have any observer, helpful in configuration changes or heavy upstream flows and also in UI related updates. LaunchedEffect | medium | 2,976 |
AndroidDev, Android App Development, Android, Jetpack, Jetpack Compose.
effect API is the recommended way to execute suspend functions as an effect of anything happening out of the scope of composable and changes of Network connectivity is an example of those side-effects happening out of the scope of composable. Sources Monitor Connectivity Status callbackFlow | medium | 2,977 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
Has it been a while since you’ve had a chance to explore a topic in depth? You’re in the right place. Life has been hectic for many of us of late, which means that taking time to really learn, absorb, and reflect can be a challenge. We’re here to help with a selection of recent posts that cover a | medium | 2,979 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
wide and diverse range of topics, but that still have one thing in common: a patient, careful, and engaging approach to complex topics. Let’s get started! Catch up with advanced fine-tuning techniques for Transformers. After introducing us to the basics of fine-tuning in an earlier post, Peggy | medium | 2,980 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
Chang takes readers to the next level, explaining how to handle thornier cases (like large models and smaller datasets) while improving performance with methods including layer-wise learning rate decay and Stochastic Weight Averaging (SWA). Photo by Kelsey Dody on Unsplash Build an image-classifier | medium | 2,981 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
system that makes human-like decisions. Most computer vision-related tutorials jump right to implementation after a few cursory introductory notes. What sets Raveena Jayadev’s post apart is that we do get a thorough, hands-on guide to building a machine learning system that recognizes digits, but | medium | 2,982 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
not before we first understand how that system’s “mental model” operates. Get a solid foundation in online (machine) learning. A popular deep learning topic, online learning has numerous industry applications in scenarios where models “must learn from new data that is constantly becoming | medium | 2,983 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
available,” as Cameron Wolfe explains in his essential (and comprehensive) introduction to the topic. Cameron’s post goes on to cover online learning approaches like regularization, distillation, and rebalancing (to name a few). Ensure your ML model’s fairness right from the design stage. Divya | medium | 2,984 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
Gopinath explores the question of fairness in machine learning from a pragmatic viewpoint: it’s not enough to intend to avoid bias; the intention needs to translate into actions that are both measurable and sustainable. Her latest post covers the basic principles for the design of fair ML models. | medium | 2,985 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
Learn how to infer causality with natural language processing methods. Haaya Naushan’s latest post builds on her previous work around econometrics and examines some promising applications of NLP techniques to causal inference, especially in the context of the social sciences. Reflect on the | medium | 2,986 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
flexibility of AI systems. After a short summer break, the TDS Podcast is back with a new season and an exciting new lineup of guests joining host Jeremie Harris. This new episode features IBM AI Ethics Global Leader Francesca Rossi, who discusses the links between human cognition and AI, the | medium | 2,987 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
potential emergence of artificial general intelligence, and the promise of explainable AI (XAI) research. Thank you for the time you’ve spent with us with week, and for all the many ways you find to support our publication and our authors. Until the next Variable, TDS Editors Recent additions to | medium | 2,988 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
our curated topics: Getting Started A simple Interpretation of Logistic Regression Coefficients by Dina Jankovic Guide to Data Visualization with ggplot2 in an Hour by Chi Nguyen Topic Model-Based Recommendation Systems by Jamie McGowan Hands-On Tutorials Multilayer Perceptron Explained with a | medium | 2,989 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
Real-Life Example and Python Code: Sentiment Analysis by Carolina Bento A Comprehensive Study of Mixed-Integer Programming with JuMP on Julia (Part 3) by Ouaguenouni Mohamed How to Generate Professional API Docs in Minutes from Docstrings by Tirthajyoti Sarkar Deep Dives A Step-by-Step Guide in | medium | 2,990 |
The Variable, Data Science, Machine Learning, Towards Data Science, Tds Features.
Designing Knowledge-Driven Models Using Bayesian Theorem by Erdogan Taskesen Statistical Machine Learning: Kernelized Generalized Linear Models (GLMs) & Kernelized Linear Regression by Andrew Rothman Measure Theory in Probability by Xichu Zhang Thoughts and Theory A Primer on Atrous (Dilated) | medium | 2,991 |
Ciso.
Not many out of each odd association has an undeniable level security expert: According to IDG’s 2020 Security Priorities Research, 61% of researched associations do, but that rate increments by to 80% for tremendous endeavors. However, in associations that use an especially pioneer, they accept a | medium | 2,993 |
Ciso.
critical section: a comparative report found that associations without a CISO or CSO will undoubtedly say their delegate security planning was missing and their security philosophy was deficiently proactive than the people who had such authorities. CISO meaning Chief Information Security Officers | medium | 2,994 |
Ciso.
direct fundamental, utilitarian, and money related pieces of data the leaders and affirmation. These specialists work personally with individual pioneers to encourage information security approaches and system for a business or affiliation. They also direct gatherings of PC analysts, information | medium | 2,995 |
Ciso.
security well-informed authorities, and comparable specialists to perceive, kill, and shed security risks. As individuals with bleeding edge specific, business, and progressive capacities, CISO work across financial regions. They screen security shortcomings, stay up with the latest with developing | medium | 2,996 |
Ciso.
advances, and apportion resources for work with efficiency and reasonability. CISOs routinely work specific and regulatory obligations to create their approaches to senior-level positions. As demonstrated by PayScale, CISOs secure a center yearly pay outperforming $160,000. Those with something | medium | 2,997 |
Ciso.
like 20 years in the position can secure more than $170,000. Responsibilities of the CISO How does a CISO respond? Maybe the most ideal approach to comprehend the CISO work is to realize what everyday obligations fall under its umbrella. While no two positions are the very same, Stephen Katz, who | medium | 2,998 |
Ciso.
badly. Cyber risk and digital knowledge: Keeping side by side of creating security dangers, and assisting the board with understanding potential security issues that may emerge from acquisitions or other enormous business moves. Information misfortune and misrepresentation anticipation: Making sure | medium | 3,000 |
Ciso.
break, managing those capable in case they’re inner, and wanting to stay away from rehashes of a similar emergency. Administration: Making sure all of the above drives run as expected and get the subsidizing they need-and that corporate authority comprehends their significance. Another significant | medium | 3,003 |
Ciso.
Security Priorities Study, 42% of top security leaders say they have had actual security obligations added to their plate in the beyond three years-and another 18% hope to take on that job inside the following a year. CISO requirements What does it take to be considered for this job? As a rule, a | medium | 3,005 |
Ciso.
specialized graduate degrees with a security center are additionally progressively stylish. There’s additionally a clothing rundown of anticipated specialized abilities: past the essentials of programming and framework organization that any undeniable level tech executive would be relied upon to | medium | 3,007 |
Ciso.
have, you ought to likewise see some security-driven tech, as DNS, steering, confirmation, VPN, intermediary administrations and DDOS relief advances; coding rehearses, moral hacking and danger displaying; and firewall and interruption recognition/avoidance conventions. What’s more, in light of the | medium | 3,008 |
Ciso.
fact that CISOs are relied upon to assist with administrative consistence, you ought to likewise think about a large group of guidelines that influence your industry, including PCI DSS, HIPAA, GLBA and SOX. Basic skills for a Chief Information Security Officer Here are various key qualities of an | medium | 3,009 |
Ciso.
vocations start with college degrees. Students can procure partner degrees in software engineering, too, yet CISOs commonly acquire four-year college educations in software engineering, data innovation, or a connected discipline. With an undergrad instruction in the field, yearning CISOs become | medium | 3,015 |
Ciso.
section level PC, organization, and framework experts or trained professionals. As examiners, people identify, forestall, and research digital dangers. They likewise research new safety efforts, relieve foundation shortcomings, and lead information recoveries. By acquiring important involvement | medium | 3,016 |
Ciso.
with the field, people can progress to administrative or authoritative jobs. Mid-level PC security experts, like security advisors, security architects, and security evaluators, encourage specialized and relational abilities. Forthcoming CISOs might fill in as section or mid-level PC data security | medium | 3,017 |
Ciso.
experts to fabricate their insight and abilities in the specialized and administration parts of the position. Positions as security planner, data innovation project administrator, or security chief may address the following stage for future CISOs. As senior-level experts, people in these positions | medium | 3,018 |
Ciso.
acquiring potential. Many expert’s projects permit understudies to represent considerable authority in subfields, supporting their quest for CISO positions. Proficient confirmations in framework security, moral hacking, and PC security episode the executives further upgrade people’s capacities to | medium | 3,020 |
Ciso.
flourish as CISOs. Chief Information Security Officer Salary As indicated by the BLS, top chiefs can expect an expected 6% expansion in work from 2018–2028. With an excess of 150,000 new leader positions adding to the field, boss data security official’s advantage from outstanding development. | medium | 3,021 |
Ciso.
PayScale reports that CISOs in Chicago, Illinois; Philadelphia, Pennsylvania; and Boston, Massachusetts, acquire the most significant compensations. The states with the most noteworthy business levels for top chiefs incorporate California, Florida, and New York. Utah fills in as home to the most | medium | 3,022 |
Ciso.
yearly. The most senior boss data security officials acquire more than $170,000 each year. CISOs look for some kind of employment across enterprises, especially profiting from positions in the lucrative monetary and extraction fields. In August 2019, CSO Online revealed that more organizations were | medium | 3,024 |
Ciso.
recruiting boss security officials or boss data security officials to battle expanding data dangers. How the Chief Information Security Officer can help with API security With the expansion in API use, API assaults are likewise turning out to be increasingly productive. Numerous CISOs understand | medium | 3,025 |
Ciso.
their API safety needs a rude awakening. As organizations use APIs to set up greater availability and move information, API cyberattacks regularly lead to information breaks, where touchy clinical, monetary, and individual information are uncovered. Other huge associations like Instagram, Venmo, | medium | 3,026 |
Ciso.
USPS, Capital One and Gitlab, have additionally experienced different assaults that were connected to broken, unreliable, or uncovered APIs during late years. CISOs have six significant issues they experience securing their APIs. The first is distinguishing API dangers. Endeavors don’t have the | medium | 3,027 |
Ciso.
foggiest idea about the full stock of their APIs. Unmonitored “shadow APIs” are the wellspring of expanding security dangers and administration challenges. The second is identified with implementing an insurance edge. Present day application design patterns (e.g., versatile access, microservice, | medium | 3,028 |
Ciso.
outside the association (“north-south” API traffic). The fourth issue that CISOs experience ensuring their APIs is the quantity of manual security arrangements required for each additional API. Identified with the fourth problem area, CISOs likewise need to manage a lot of progress the board for | medium | 3,030 |
Ciso.
new APIs. New APIs are conveyed at an exceptionally quick rate without legitimate documentation, administration, and change control. At last, the occasionally cracked connection among DevOps and Security is a significant issue. 30% of APIs were sent without input from IT security because of the | medium | 3,031 |
Ciso.
security worries for big business CISOs. Thus, it addresses one of the quickest developing business sectors inside network protection, and new companies are enhancing quickly to keep up with their edge and catch this market. We accept champs in API protection will be organizations fit for extending | medium | 3,035 |
Mathematics, Postdoc, Vancouver, Ecology, Numerical Analysis.
Great quotes and mathematical pursuits: Meet Jane Shaw MacDonald, our PIMS PDF at Simon Fraser University. By Lisa Sammoh, Communications and Events Assistant. Jane Shaw MacDonald earned her PhD at the University of Ottawa, where, working with Prof. Yves Bourgault and Prof. Frithjof Lutscher, her | medium | 3,037 |
Mathematics, Postdoc, Vancouver, Ecology, Numerical Analysis.
thesis spanned subjects in mathematical ecology, numerical analysis, and computational sciences. In this work, she derived mathematical models in one and two spatial dimensions describing a population residing in a climate-driven moving habitat, she developed and validated numerical solvers for | medium | 3,038 |
Mathematics, Postdoc, Vancouver, Ecology, Numerical Analysis.
each of these models, and she applied these solvers to ecological scenarios in order to further our understanding about the impact of climate change on a species’ ability to persist. Now she is working at Simon Fraser University with Prof Nilima Nigam and Prof John Stockie on the regularisation and | medium | 3,039 |
Mathematics, Postdoc, Vancouver, Ecology, Numerical Analysis.
numerical approximation of line sources and mathematical modelling of nordic skiing. In addition to her mathematical pursuits, she is a committed community servant, and in the last year co- founded Math to Power Her Life, an outreach program for middle-school, self-identifying girls to explore | medium | 3,040 |
Mathematics, Postdoc, Vancouver, Ecology, Numerical Analysis.
mathematics as a career. Her personal hobbies include many outdoor activities, art, and reading. Tell us about your academic journey. While studying at the University of Manitoba, the welcoming community of mathematicians there helped me nurture my interests in mathematics. Later, while completing | medium | 3,041 |
Mathematics, Postdoc, Vancouver, Ecology, Numerical Analysis.
my bachelor’s degree, I searched for a master’s program where I could study mathematical modelling applied to biological sciences, leading me to a conversation with Prof. Lutscher at the University of Ottawa. For my master’s thesis, I contributed to the literature on moving-habitat models, and then | medium | 3,042 |
Mathematics, Postdoc, Vancouver, Ecology, Numerical Analysis.
was inspired to take a more computational approach for my PhD work under the co-supervision of Prof. Bourgault and Prof. Lutscher, where I developed numerical methods for generalizing these models. Reading while on a cross country camping trip with my husband. Afterward, I sought opportunities as a | medium | 3,043 |
Mathematics, Postdoc, Vancouver, Ecology, Numerical Analysis.
postdoctoral researcher and applied for a position at Simon Fraser University. Even though I didn’t get that particular position due to my unavailability at the posted start time, it eventually led to my current PIMS Postdoctoral Fellowship with Prof. Stockie, and Prof. Nigam, allowing me to | medium | 3,044 |
Mathematics, Postdoc, Vancouver, Ecology, Numerical Analysis.
continue pursuing my interests in numerical mathematics and mathematical modelling. What field are you in and what is your current research on? My interests include numerical mathematics, computational sciences, and mathematical modelling, with a focus on applying partial differential equations to | medium | 3,045 |
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