Five Amazing Color Tools for Designers

Five Amazing Color Tools for Designers

Color is a power which directly influence the soul

A perfect combination of colors can put life to any piece of art or any object .Therefore, to make any object more attractive and appealing , designers need to be very particular while designing anything .They have to look for the perfect color combination according to the requirements of the client .Choosing the right color is a hard task and requires a person with good coloring sense to accomplish this task .

Here are some amazing color tools for designers which are described below

These tools play the role of a helping hand to the designers .

1. Khroma

khroma

It is an AI color tool for designers . It helps the designers to discover , search and save color combinations that you’ll love. Khroma is the fastest way to generate , discover ,search and save color combos . Khroma has learned from thousands of the most popular human made palettes across the internet to produce great combos. Khroma’s search allows you to filter the generator by the hue , tint, value ,color , as well as hex and rgb values. You can create unlimited library of your favorite combos to reference later.

2. Color Hunt

color hunt

This is a platform which provides thousands of trendy hand picked color palettes. It is a free and open platform . It is a curated collection of beautiful colors , updated daily. It serves thousands of color schemes for many different design and art purposes .Anyone can save their favorite palettes ,manages their personal collection , and have a quick access to copy the color codes . When you click on the like button the palette is being saved on your browser’s “local storage” so you can access it and manage your personal collection without the need of logging in to color hunt .

3. Culrs

curls

Culrs gives the designers a simple smart approach to choose color palettes. Culrs is an open platform for the user to choose color palettes for their application with extreme ease . Curls is a product that is constantly updating and learning the color theory and science of colors from all over the internet ,as well as the strategic color theory concepts used by some of the great products that people have already adapted to, in their daily life .

4. Coolers

coolors

It is the super fast color scheme generator. You can customize your colors precisely by adjusting temperature, hue , saturation , brightness etc . You can even export your palettes in several handy formats like PNG , PDF, SCSS, SVG or copy the permanent URLs . By creating your profile you can keep all your color schemes well organized with name and tags . You can create , save and share perfect palettes in seconds .

5. Color Leap

color leap

Discover the history of color palettes throughout the past 4000 years. The tagline says , “Take a leap through time and see the colors of history .” Color Leap is a collection of 180 color palettes that showcase colors used throughout 12 distinct eras in history .Each palette was created by sampling pieces of artwork from the time period.

These are five amazing color tools platforms for designers which can be very useful and make the work of not only of designers but of every individual who find it difficult to look for a perfect color combination much easier .

As , ” Life is too short to live in black and white ” .

These days people have become too peculiar for choosing a perfect color scheme whether it is for the painting of house or the color of the dress . Some are good at dealing with colors while others are not. So, keeping in mind need of every single person and also the importance of colors in our daily life , these tools were created.

Moving to the center of the customer’s universe

Moving to the center of the customer’s universe

Data is to this century what oil was to the last one: a driver of growth and change. Flows of data have created new infrastructure, new businesses, new monopolies, new politics and—crucially—new economics.” – The Economist, May 2017

If you purchase this ‘data is that the new fuel’ analogy like several have, ar|you’re} already aware that firms altogether completely different industries are defrayment (or reaching to spend) a major level of investment in AI initiatives. Giants like Google and Baidu spent $30B and $20B severally on AI in 2016, according to McKinsey, and investment is anticipated to grow by three-hundredths in 2017, according to Forrester. the price of doing nothing is unconscionable. within the same report, Forrester predicts insights-driven firms will ‘steal $1.2B’ from competitors annually by 2020.

What’s motivating such a big amount of firms altogether {different|totally completely different|completely different} industries to leap on the AI bandwagon? we have a tendency to believe one among the first drivers is to deliver essentially different expertise for his or her client – one that focuses on growing the link and meeting the requirements of their customers once and wherever they’re.

Imagine associate degree illustrative client scenario: alphabetic character and Jason understand they’re quickly outgrowing their house with a growing family. Do they appear to shop for a much bigger home, or do they increase the footprint of their existing home?

Intelligent Bank Scenario

Figure A: Typical client Interaction with Bank vs. Future AI-Enabled Relationships

Today: The couple during this state of affairs undergo a series of tasks and activities to assist them create their call, starting from doing their own analysis, rebuke friends and family, aiming to completely different websites to seek out rates, home costs and alternative items of information. the primary bit purpose the monetary service company has with this couple is after they finally select a mortgage or home equity line. In alternative words, at the top of that entire client journey.

Tomorrow: Imagine if you because the institution will move up front within the decision-making method. maybe serving as associate degree enabler for serving to to optimize the choice and lay out all the situations. associate degree AI-enabled bank anticipates the requirements of a client and brings a group of tools and information along to empower and inform the client on their journey – not simply at the top of it.

The benefits of re-positioning the role of the bank among this client journey square measure large. The monetary services organization evolves from being a transactional entity to 1 that’s targeted on building the connection and meeting the client wherever they’re (Figure B). In alternative words, you because the monetary services supplier square measure ready to move to a additional strategic, proactive and relevant position.

Re-Positioning Your Brand Enabled by AI
Figure B: Re-Positioning Your Brand Enabled by AI

So where do you as a business start on this journey? It ultimately begins with what value you want to unlock and a use case that will highlight your organizational aspirations. One way to determine where and how to focus is through the use of an innovation agenda framework that brings together customer, business, and trend analysis to pinpoint opportunities to test.

Once you identify the right use case, you want to enable that experience in the best way possible – allowing for experimentation, quick pivots, and speed to market. We would propose an investment in the foundational technical building blocks that enable faster software production releases, and easier integration of systems and data through APIs.  These core capabilities allow you to experiment faster and with greater efficiency. This platform approach also enables more consistent customer touch-points across digital channels. Our Intelligent Bank Platform strategy brings together those building blocks (Figure C) and enables you to start your journey towards becoming a smarter financial institution.

Building Blocks to Building a More Intelligent Bank
Figure C: Building Blocks for a More Intelligent Bank

So you want to fundamentally change the relationship you have with your customers leveraging AI as a means to re-position your organization at the center of a customer’s experience. How do you go about doing this? Here are 5 things you can do today:

1. Look at your options, but avoid locking yourself into a specific AI vendor solution. The switching cost of a misaligned vendor solution is high.
2. Identify a customer pain point that can benefit from a more proactive relationship with the bank powered by better insights and a suite of relevant third party services.
3. List the services, APIs, and experiences you want to bring together to create the optimal customer journey.
4. Establish a mechanism for experimentation so you can quickly connect to the right services and APIs and test them in the market to get quick learnings.
5. There’s no doubt about it – this is challenging work. But, broken down into manageable parts, it’s easier to get a meaningful win sooner rather than later.

Fast-Tracking Cancer Drug Development Using Data Science

Fast-Tracking Cancer Drug Development Using Data Science

The Challenge

The stakes are high in oncology drug development: The process is costly, the competition is fierce, and the mission — saving lives — is critical. A major pharmaceuticals company wanted to improve its highly manual process for conducting clinical trials for its cancer drugs. The company wanted to reduce the time it takes to conduct clinical trials for cancer drugs while increasing the effectiveness and safety of the drug development process.
The organization chose us as a partner for this ongoing initiative because of our skills in data science and artificial intelligence, as well as our deep experience in life sciences and the pharmaceutical industry.

The Solution
Our overall goal was to use AI to enhance decision-making in the clinical trials phases of oncology drug development. AI improves the process of selecting candidates for specific drugs by collecting evidence of drug effectiveness based on chemical structure and how the targeted body tissue responds.
We are working closely with the company’s Pharmaceutical Development & Commercialization organization to build an automated process for data analysis in preclinical trials. The power of AI helps us predict adversely
drug reactions, which results not only in a safer and faster process but also a more streamlined regulatory approval process.

Our Approach
The project is part of an ongoing research and development initiative, with each phase producing assets that can be reused as case studies for future research problems. This
knowledge provides recommendations for improving the process of capturing data in other trials. Using AI and data science helps shorten preclinical trial times by three to four years and cut per-patient costs while improving safety and producing reusable assets and technical knowledge that can be utilized in future initiatives.