Honestly, you should already be incorporating purpose into your company culture, regardless of technology. But the fact remains that making time to define that purpose—just like making time to define your business goals—will go a long way toward creating a digital culture that isn’t just present, but palpable and valued by customers and employees alike. For instance, when your purpose changes from making quality shoes to providing customers with a memorable shoe-buying/show-wearing experience, your digital culture lens will shift automatically. Suddenly, you’re thinking of ways to use technology in new and exciting ways for the customer, rather than just getting the job done. These are the kinds of shifts that drive digital transformation—and create positive change. Is change easy? No. But when it comes to creating successful digital transformation, the cards are on the table, and they’re incredibly easy to read. Successful transformation requires cultural change. Period. Following the steps above to build a stronger digital culture—however challenging—will help get you there.React Native JavaScript framework stumbles
Facebook found that initial principles of React Native—serving as a single asynchronous, serializable, and batched bridge between JavaScript and native apps—made it harder to build features. The asynchronous bridge, for example, has meant JavaScript logic could not be integrated directly with native APIs expecting asynchronous answers. And batched bridge-queuing native calls made it more difficult to have React Native apps call into functions implemented natively. ... Not everyone is waiting for Facebook to work out the kinks in React Native. Walmart Labs has built an open source platform, Electrode Native, for integrating React Native components into existing mobile applications. Running on Node.js 6 or later, Electrode Native lets developers select features to add to an application and packages them in a single library. Built-in dependency version control is included to control native dependencies for alignment to React Native components.When Digital Innovation Becomes A Factory Of Business Outcomes
To claim a business and market leadership position, periodic or one-time innovation is not enough. Continuous innovation with the latest technologies is imperative to stay current with the processes and experiences that employees and customers demand. In some cases, global executives are committed to innovation but not satisfied with their innovation performance. This reality serves as an excellent reminder that a self-correcting structure, which includes measurement and the flexibility to change, is required to identify and implement innovations. Considering the low satisfaction among executives when it comes to innovation, a factory setup – which includes defined processes, connected systems, and one source of truth – emerges as the ideal self-correcting model. This factory approach inherently enables the repeatability, structure, measurability, root-cause visibility, continuous improvement, and cost optimization that businesses need to succeed.The cost of a payment card data breach
The financial costs for breached organisations vary based on several factors. The size of the breach is the most important, but the affected payment channel, the number of servers and how those servers are interconnected also play an important role. There is also the cost of the breach response. Organisations will need to notify their regulator and affected parties. If they have planned for a breach, this will be less expensive than having to do it on the fly. The same is true if they intend to create a help page on their website and a phone line for customers to use to learn more about the incident. Organisations will probably also be required to cover the cost of a forensic investigation. A PCI Level 2 investigation will cost about £25,000–£50,000, and a Level 1 investigation will cost upwards of £100,000. Depending on the investigation’s findings, organisations might face tough disciplinary action. Fines for non-compliance are levied on the payment processers or card companies rather than the breached organisation.How Payroll AI and Machine Learning Are Transforming Businesses
A number of problems surfaced even among companies that had felt like they had fully developed their payroll management solutions. One of the biggest problems was with tracking employee expenses. Only 33% and 21% of companies tracked domestic and global employee expenses, respectively. Many companies are just beginning to realize the imperfections in their payroll management processes. They are beginning to invest in new AI technology that can help them address these problems. ... Machine learning has helped payroll managers develop more efficient processes for handling these queries. One of the most common ways that they can improve interactivity and streamline customer service is by tracking the questions and responses between customers and payroll managers. After observing a pattern, they can help customer service representatives develop automated responses to the most frequent inquiries.
From finance to healthcare: 5 fintech trends that will benefit digital health products
While finance tracks money, the fitness industry is driving advances in biometric wearables that monitor and record steps and active minutes, heart rate, calories burned, even sleep. The relationship between tracking fitness and larger health issues has always been implicit, and the traction and success of personal performance products provides a bridge to more dedicated health technology. Today, the self-generated tracking and performance trend is driving a proliferation of health-related apps that encourage and empower customers to proactively engage with their wellness. From cardio trackers, calorie counters, ovulation and menstruation apps, and pregnancy trackers, developments in more sophisticated clinical solutions are leading to technology that combines with wearables and mobile apps to monitor chronic conditions, including cardiovascular disease, diabetes, stress and mental health. And with advances in biometric accuracy, data analysis, machine learning, and AI algorithms, products and applications that tap this high value data is forecast to proliferate.
IoT Innovation in Transportation
There has been continuous growth in the field of transportation over the past decade because of the crucial role of logistics in transport through air, water, or land. Managers or transportation heads have started searching for ways to improve profits and logistics by minimizing the costs associated with the project. While managers work on profits and ways to improve the transportation process, corporations have started to look towards big data being generated in this field and can point towards ways to improve transportation. IoT interpolates perfectly with transportation, and there is a huge scope where the logistics can be modified to gather data on each step throughout the transportation process, which will give the managers a clear idea of how transport can be further improved. Trucks or any other type of transport facility can now be connected through IoT, which can provide the location of the vehicle, movement, speed, and estimated time of delivery through the exchange of data. This was not at all possible previously, but, now, it is due to the introduction of IoT in this field.What is continuous integration (CI): Faster, better software development
Continuous integration is a development philosophy backed by process mechanics and software build automation. When practicing CI, developers commit their code into the version-control repository frequently and most teams have a minimal standard of committing code at least daily. The rationale behind this is that it’s easier to identify defects and other software quality issues on smaller code differentials rather than larger ones developed over extensive period of times. In addition, when developers work on shorter commit cycles, it is less likely for multiple developers to be editing the same code and requiring a merge when committing. Teams implementing continuous integration often start with version-control configuration and practice definitions. Even though checking in code is done frequently, features and fixes are implemented on both short and longer time frames. Development teams practicing continuous integration use different techniques to control what features and code is ready for production.
Race Condition vs. Data Race in Java
A race condition is a property of an algorithm (or a program, system, etc.) that is manifested in displaying anomalous outcomes or behavior because of the unfortunate ordering (or relative timing) of events. A data race is the property of an execution of a program. According to the Java Memory Model (JMM), an execution is said to contain a data race if it contains at least two conflicting accesses (reads of or writes to the same variable) that are not ordered by a happens-before (HB) relationship (two accesses to the same variable are said to be conflicting if at least one of the accesses is a write). This definition can probably be generalized by saying that an execution contains a data race if it contains at least two conflicting accesses that are not properly coordinated (a.k.a synchronized), but I am going to talk about data races as they are defined by the JMM. And, unfortunately, the above definition has a significant flaw. ... Despite the incorrect definition stated by JMM that remains unchanged, I am going to use a fixed version.Multiple Solutions Hardens Posture but Creates Agent and Alert Fatigue
CISOs agree that prevention is faulty, but investigation is a burden. EDR capabilities can provide improved detection and response approaches to prolific security incidents, and using automation can help to address the global shortage of cybersecurity professionals. Specifically, EDR tools best fit resource-strapped businesses with lean IT teams that operate without a Security Operation Center (SOC). However, half of IT executives worldwide said that managing EDR tools is difficult or very difficult. In both the US and UK, 49 percent of all endpoint alerts triggered by monitoring and response techniques turned out to be false alarms. Sixty-four percent of Americans in companies with no SOC said monitoring activities are one of their toughest challenges. Spotting an ongoing breach also means fighting alert fatigue caused by noisy traditional security solutions. It’s a race against time when filtering security alerts, which can be especially difficult if the organization is understaffed and overburdened.Quote for the day:
"Tact is the ability to tell someone to go to hell in such a way that they look forward to the trip." -- Winston S. Churchill
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