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Google’s Material Design for Android- Trends You Must Follow in 2016

Material Design is a Latest design language developed by Google. Material Design makes more liberal use of grid-based layouts, responsive animations and transitions, padding, and depth effects such as lighting and shadow.

Material Design is a Google’s conceptual design philosophy that outlines how apps should look and work on mobile devices. It breaks down everything — such as animation, style, layout- and gives guidance on patterns, components and usability.  According to Google: “We challenged ourselves to create a visual language for our users that synthesizes the classic principles of good design with the innovation and possibility of technology and science. This is material design.”

Material starts with mobile but extends to any other device. It is rooted in a few principles:

Realistic visual cues: The design is grounded in reality and actually inspired by design with paper and ink.
Bold, graphic and intentional: Fundamental design techniques drive the visuals. Typography, grids, space, scale, color and imagery guide the entire design. Elements live in defined spaces with a clear hierarchy. Color and type choices are bold and deliberate.
Motion provides meaning: Animation is a key component of Material Design, but it can’t just be there for the sake of movement. Animations need to happen in a single environment, serve to focus the design and include simple and easy transitions. Movements and actions should mirror the physical world.

Few points we need to understand about Material Design:

Understanding the “Tactile Surface”
One of the things that comes up a lot when talking about layered interfaces is the “tactile surface.

Think of this as having multiple sheets of paper that are stacked together to create a framework for how everything within the design works. These sheets are a little different from physical sheets of paper in that they can change shape and form — such as stretch or bend — but work in a way that is seemingly realistic.

As explained in Mobile Design Trends for 2015, treat the tactile surface is a container for content and information. The container is flat in design but has a faint shadow to separate it from other containers and layers. Other techniques to create separation between layers – such as textures, gradients or strokes – are unnecessary.Material Design-infographicYou can see the separation in the layers for the Reddit app, above. There is an obvious top menu layer covering a greyed out main content layer. Even the main header image contains elements of layering and shading that emphasize a three-dimensional tactile surface.

As demonstrated in the Android Lollipop UI Kit, a tactile surface clearly established the relationship and function of content within a design. (Each container often has one job, such as a link or video player.) This approach also establishes depth, as elements in other containers are layered, creating a seemingly three-dimensional world.

Material is Made for Adaptive Design:
Layered interfaces
are inherently made for adaptive design. All of the design guidelines actually encourage a designer to work with an adaptive layout (whether you prefer Adaptive or responsive is up for debate, however.)

When thinking about layered interfaces, it is important to consider how all the elements relate to one another.

Google recommends its standards because of a “flexible grid that ensures consistency across layouts, breakpoint details about how content reflows on different screens, and a description of how an app can scale from small to extra-large screens.”

Considerations include:

Breakpoints: Widths include 480, 600, 840, 960, 1280, 1440 and 1600 pixels.
Grid: 12-column layout with margins and gutters (8, 16, 24, or 40 pixels) and a baseline grid.
Surface behaviors: UI adapts to the type of screen so that surfaces are visible or toggled to hide.
Patterns: Function is based on screen size, including reveal, transform, expand, reflow and divide.

These considerations make it easy for designers to ensure their interfaces adapt for any device in any situation. They provide a baseline to help designers as they construct layouts for desktop, tablet and smartphone.

Material and Other Mobile Design Trends:
When it comes to creating layered interfaces, other trends also come into play.

  • Material Design has borrowed plenty of design concepts from the flat aesthetic and other trendy techniques. In fact, some would argue that Material Design is a close cousin to Flat Design 2.0 because many of the visual treatments are quite similar.
  • What separate layered interfaces from totally flat design is that effects are needed to create more three-dimensional spaces and to mimic lighting. In essence, designers are bringing back some of the design tricks eliminated with flat. The difference is that they’re using these tricks to improve usability rather than simply as decorative accents.
  • The colors most closely associated with layered interface design nearly fall within the flat aesthetic. The big difference is the vast number of color options that Google provides. Palette options are in the same vein though – bright, bold and fully-saturated hues.
  • While many designers opted for blues and reds when it comes to designing flat, more layered interfaces seem to feature deep purples and yellows. That’s likely because each of these hues is easy to pair with contrasting white or black text.
  • Layered interfaces also work well in the space of minimalism, particularly when it comes to typography. Type is stacked with clear hierarchy and sans serif options are the preferred choice. Google suggests using Roboto as the dominant typeface and it comes with plenty of choices, from thin to bold to italic to condensed.
  • The variety helps create levels of type that guide users between elements. In the true spirit of minimalism, one font can pretty much do everything you need with proper sizing and scaling.
  • You’d be hard-pressed to find a website without a full-screen image these days and layered interfaces further emphasize the use of vivid, intentional imagery.
  • The apps make the most of a simple photo for this very purpose, showing that Material Design  does not just use color, photos  and effects solely for visual impact — they are an essential part of the design.
  • Finally, layered interfaces are perfectly made for cards, which we discussed in the previous chapter. Looking through the examples showcased, almost every design includes something with a card-like element. From smaller cards to full-screen options, these trends go hand-in-hand.

Material Design looks nice and it works well in a variety of places. Designers will want to take advantage of that and the lite version provides the perfect level of guidance. Material Design Lite is also a good tool for designers and developers that want to create a unified web-app experience, so that apps look, feel and function in the same way regardless of device. Layers are definitely going to stick around, but the overall look may be a little more “layered” and a little less material, so that the design falls somewhere between Material Lite and iOS standards.Material Design 2The Weather Channel iOS app is already using this approach. The app layers cards, colors and images. Where the design concepts overlap most is in the use of cards and the placement of geometric shapes. Where the design is “less Material” is in the lack of depth and shadowing so that the overall look is flatter and streamlined.

Gradients and monochromatic color layers are another way layered interfaces can continue to grow visually. Monochromatic color palettes are a classic design technique that make it easy to create sharp elements to fit almost any type of content.

The Elevate iOS app uses a gradient background with multiple levels of cards in its design. The animations and movements are very Material Design in nature but the use of a gradient is not. This simple evolution highlights how designers will start to break the visual rules of layered interfaces while continuing to leverage its more functional aspects.

Designers will continue to evolve layered interfaces and Material Design concepts with darker colors and hues. Most of the apps available right now feature light and white color schemes, but darker colors will start to emerge. Weather Timeline is a perfect example of this. The simple change to the color palette is enough to really make this app stand out from all the others available. It still uses a style that’s distinctly layered, but the darker interface is simple and elegant. The colors for the entire design are less saturated and toned to match the darker aesthetic.

Today’s layered interfaces are just the start. The simple visual style and high usability of this design style will continue to emerge and grow as designers — not just for Android — will latch on the concepts. What may be even more interesting is that the look of layered interfaces is really just an extension of a lot of the design techniques that have been growing in popularity for several years, including flat and minimalism.

At some point the pendulum may swing back to more “realistic-looking” interfaces, but until then this concept appears to have quite the foothold.

Mantra Labs deep dives into latest trends and innovations in the Web, Mobile, Enterprise and Internet of Things space. The insights generated from these studies helps us provide more value for our clients.

Guest written by P. Sudhakar, our ace Design Lead.

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The Million-Dollar AI Mistake: What 80% of Enterprises Get Wrong

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When we hear million-dollar AI mistakes, the first thought is: What could it be? Was it a massive investment in the wrong technology? Did a critical AI application go up in flames? Or was it an overhyped solution that failed to deliver on its promises? Spoiler alert: it’s often all of these—and more. From overlooked data science issues to misaligned business goals and poorly defined AI projects, failures are a mix of preventable errors.

Remember Blockbuster? They had multiple chances to embrace advanced technology like streaming but stuck to their old model, ignoring the shifting landscape. The result? Netflix became a giant while Blockbuster faded into history. AI failures follow a similar pattern—when businesses fail to adapt their processes, even the most innovative AI tools turn into liabilities. Gartner reports nearly 80% of AI projects fail, costing millions. How do companies, with all their resources and brainpower manage to bungle something as transformative as AI?

1. Investing Without a Clear Goal

Enterprises often treat artificial intelligence as a must-have accessory rather than a strategic tool. “If our competitors have it, we need it too!” they exclaim, rushing into adoption without asking why. The result? Expensive systems that yield no measurable business outcomes. Without aligning AI’s capabilities—like natural language processing or generative AI solutions—with goals such as boosting customer experience or driving operational efficiency, AI becomes just another line item in the budget.

2. Data Woes

AI is only as smart as the data it’s fed. Yet, many enterprises underestimate the importance of clean, structured, and unbiased data. They plug in inconsistent or incomplete data and expect groundbreaking insights. The result? AI models that churn out unreliable or even harmful outcomes.

Case in Point: A faulty ATS filtered for outdated AngularJS skills, rejecting all applicants, including a manager’s fake CV. The error, unnoticed due to blind reliance on AI, cost the HR team their jobs—a stark reminder that human oversight is critical in AI systems.

3. Underestimating the Human Element

AI might be powerful, but it does not replace human judgment.  Whether it’s an AI assistant like Claude AI or OpenAI’s ChatGPT API, Enterprises often overlook the need for human oversight and fail to train employees on how to interact with AI systems. What you get is either blind trust in algorithms or complete resistance from employees, both of which spell trouble.

4. Stuck in Experiment Mode

AI adoption often stagnates when businesses fixate on piloting instead of scaling. Tools like DALL-E or MidJourney may excel in proofs of concept but lack enterprise-wide integration. This leaves companies in an endless cycle of testing AI applications, wasting resources without realizing full-scale business value.

5. Ignoring Change Management

Transitioning to AI technology is as much about organizational culture as it is about deploying AI models. Mismanagement, such as overlooking ethical AI considerations or failing to explain AI’s impact on roles, leads to resistance. Whether it’s a small chatbot AI tool or full-scale AI automation, fostering employee buy-in is critical.

Source: IBM

How to Avoid These Pitfalls

  1. Start with Strategy: Define clear objectives for adopting artificial intelligence programs.
  2. Invest in Data: Build a robust data infrastructure. Clean, unbiased, and relevant data is the foundation of any successful AI initiative.
  3. Prioritize Education and Oversight: Train teams to work with AI and establish clear guidelines for human-AI collaboration.
  4. Think Big, but Scale Smart: Start with pilots but plan to expand AI in finance, healthcare, operations or other areas from day one.
  5. Focus on Change Management: Communicate the value of tools like AI robots or AI-driven insights to teams at all levels.

Graph of AI adoption across different countries

Source:IBM.com

Mantra Labs is Your AI Partner for Success

At Mantra Labs, we don’t just offer AI solutions—we provide a comprehensive, end-to-end strategy to help businesses adopt the complex process of AI implementation. While implementing AI can lead to transformative outcomes, it’s not a one-size-fits-all solution. True success lies in aligning the right technology with your unique business needs, and that’s where we excel. Whether you’re leveraging AI in healthcare with tools like poly AI or exploring AI trading platforms, we craft custom solutions tailored to your needs.

By addressing challenges like biased AI algorithms or misaligned AI strategies, we ensure you sidestep costly pitfalls. Our approach not only simplifies AI adoption but transforms it into a competitive advantage. Ready to avoid the million-dollar mistake and unlock AI’s full potential? Let’s make it happen—together.

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