Unlocking Success: Embracing a Product-Centric Mindset for Business Growth

7 ways to prevent tech buyer’s remorse

Tech buyer’s remorse is on the rise due to factors such as lack of research, poor vendor communication and impulse buying. Explore seven tips to avoid tech buyer’s remorse.

Article featured in Tech Target

While buyer’s remorse is commonly associated with the purchase of big-ticket items, such as a house or a car, the tech sector is also plagued by this curse. Many tech buyers who purchase tech products or invest in digital technology experience similar feelings of regret that buyers often feel after purchasing expensive items.

The recent transformations in technology have created an influx of tech products, such as smart home devices, virtual reality headsets and motion activated security cameras, on the market. Given the abundance of choices available, the trend of tech buyer remorse is on the rise.

What is tech buyer’s remorse?

The feeling of disappointment or discontent that people may experience after purchasing a new technology product is referred to as tech buyer’s remorse. This emotion frequently manifests after the buyer realizes that the product doesn’t live up to their standards, specifications or personal preferences. It may also happen if the purchaser encounters certain features, defects or restrictions that were not anticipated before the purchase.

Using Enterprise Architecture To Support Scaled Agile

For your business to function, your value stream needs to flow correctly through your business architecture.

Article featured in LeanIX

Scaled Agile Frameworks offer your teams the advantages of Agile along with the freedom to follow other methodologies where it makes sense. Let’s explore why enterprise architecture could be the key to implementing Scaled Agile.

Scaled Agile Frameworks (SAFe) are becoming a popular alternative to a full Agile transformation. Yet, this modular implementation of the traditional Agile methodology can be even more complex to adopt.

While a SAFe methodology maximizes your organization’s flexibility and empowers your employees to self-organize, it needs careful monitoring and in-depth understanding of the needs of your teams and your business strategy.

Auto pilot: automated machine learning and loss development

Automated machine learning is allowing insurers to take a more individual approach to estimating loss development.

Article featured in The Actuary

Actuaries traditionally estimate reserve requirements with portfolio-level calculations, using triangulation methods such as Chain-Ladder and Bornhuetter-Ferguson. These provide an aggregate view of loss development across a portfolio, which is necessary for financial and regulatory reporting. The advantages of aggregate methods include ubiquity, transparency of assumptions and easy implementation. However, there are some risks.

First, estimating loss development solely through an aggregated lens could cause inaccurate loss reserving in underlying segments if key characteristics are overlooked. Second, aggregate methods provide a static view, and recreating triangles and analysing reserve changes and underlying patterns can be time intensive. Third, they may not provide actionable insights – different, overlapping trends are hard to distinguish and quantify individually.

9 quantum computing challenges IT leaders should understand

While the theory of quantum mechanics is complex, the tech might offer practical uses for organizations. Learn about the challenges and opportunities of quantum computing.

Article featured in Tech Target

Quantum computing may seem like a technology that belongs in the distant future, but there are potential real-world applications today. Still, in order to take advantage of those, organizations need to address the challenges quantum computing poses.

Many organizations are looking into practical use cases of quantum computing and for good reason. Quantum computing has the potential to solve computational problems significantly faster than existing classical computing approaches. Businesses might want to use quantum computing for optimizing investments, improving cybersecurity or discovering new paths for value creation.

Whereas classical computing encodes data into logical bits using transistors that can process information only one decision at a time, quantum computers encode problems into basic units of information called quantum bits (qubits) that can store multiple states of information at the same time. This encoding makes them perfect for complex optimization problems and cracking existing encryption codes.

A Psychologist Offers 2 Solutions To ‘Digital Fatigue’ And ‘Notification Overload’

Apps have undoubtedly enhanced our phone experience, but how often do you feel overwhelmed by them.

Article featured in Forbes

Phones are an indispensable part of our lives — they are a portal to the internet, a source of entertainment and our digital companions. According to a report by Statista, we downloaded a total of 255 billion mobile apps in 2022, which is an 80% increase from 2016.

This widespread adoption of apps leads to a particularly pernicious problem: notification overload. Receiving notifications for calls or text messages is one thing, but we must ask ourselves: is it important to be notified each time a shopping app announces a sale or when a YouTuber uploads a new video?

Although most apps offer the ability to selectively turn notifications off, many users are not familiar with these settings and rely on an always-on-or-always-off solution like the silent mode, which can cause them to miss important information in an attempt to tune out the noise.