WEAREBRAIN: FOSTERING DIGITAL TRANSFORMATION WITH AI-POWERED BUSINESS AUTOMATION

5May - by aiuniverse - 0 - In Human Intelligence

Source: analyticsinsight.net

WeAreBrain is an award-winning AI solution provider in the business of ideas, entrepreneurship, and technological invention. The company was founded in 2014. WeAreBrain enables global clients to create and execute strategies for their digital transformation. It’s  team consists of 70+ creators and entrepreneurs based in Amsterdam, Lausanne, Kyiv, Kramatorsk, and Cape Town.

The company develops AI-powered support tools and Intelligent Automation solutions empowering business and technology teams to run and scale their daily operations efficiently. WeAreBrain helps its customers to develop a better understanding of the potential AI has for their business through solutions that help reduce operational cost, increase profitability, and improve customer experience.

The company’s mission is:

Building the best version of the future

WeAreBrain imagines, creates, and develops intelligent design, thoughtful AI products, and solutions. The company endeavors to leave the world a better place than we found it. WeAreBrain empowers visionaries to create meaningful brands and is committed to shaping the most successful, sustainable, and customer-centric organizations of tomorrow.

Ownership

The company’s internal culture is based on trust, transparency, and unlimited personal and professional growth. WeAreBrain invests in these principles, not in word, but indeed. The company is also big on ownership – in its work and in its business – that’s why each member of its team has shares in the business.

Continuous transformation

WeAreBrain is in the business of ideas, entrepreneurship, and technological invention – researching, inventing and building groundbreaking products and services. The company invests itself in R&D and ventures to build the experience to apply to its clients.

A Futurist Leadership

Jack Myasushkin is WeAreBrain’s Co-founder and CTO. Originally from Ukraine, he has skipped between Ukraine, the United States, and the Netherlands throughout his career. Before co-founding WeAreBrain in 2014, Jack was a C-level executive of a leading Ukrainian software development company. He is an avid futurist and a regular guest speaker at industry events such as AI Ukraine. Jack is passionate about developing technology and AI solutions that improve lives. He is also a co-founder of Tur.ai, an exciting new player in Intelligent Enterprise Automation.

Democratizing Market for IA Solutions

Jack claims, in the midst of so many emerging technologies, WeAreBrain offers organizations unbiased advice to differentiate between hype and necessary innovation and change, in order to be in line with the customer expectations of the future. For example:

•  Which new technologies and frameworks are emerging? Which of them is hype, which is obligation?

•  How do business models have to change?

•  How can data be used profitably?

•  How can deep learning be used efficiently?

Quicker, Cheaper, and More Efficient!

The company democratizes the market for Intelligent Automation. WeAreBrain makes it accessible, affordable, and more widely available for small and medium-sized companies and organizations. The company enables its clients to unlock the true potential of bot interfaces, AI, and process automation at a massively reduced cost of ownership, increased flexibility, and a much quicker time to market.

Optimizing Business Operations with AI 

Today, organizations across the globe have started leveraging artificial intelligence (AI) to optimize their processes to reap higher revenues, reduce operational costs, and improve customer experience. Moreover, Jack thinks, post-COVID-19 will be an unprecedented time in the history. Organizations will need to be quick on their feet if they hope to get back on track and recoup financial losses. It’s time to adopt AI and Automation capabilities to ease the transition. Whether it is in Customer Service, Procurement or HR, AI, and Automation easily offer a return on investment of 40-60% in the first year. Here are some examples:

AI in Healthcare is benefiting both patients and healthcare practitioners. It helps doctors with diagnoses and can tell when patients are deteriorating to a point where medical intervention is necessary, pre-empting the need for hospitalization.

Medical chatbots can interact with patients, educate and inform them on healthcare issues, and allay any potential trauma due to mis-self-diagnosis.

AI helps analyze complex medical data, like X-rays, CT scans, and different screenings and tests. Using a patient’s data together with clinical research, medical professionals are able to develop personalized treatments for each patient.

AI in Cybersecurity is most effective with regard to data protection. AI and ML allow businesses to detect vulnerabilities, anomalies, and nefarious user behavior in certain business applications and various financial systems. AI systems constantly analyze a business’s network packet and map out what is normal traffic, and what is abnormal. The main benefit and draw to AI technology are that it beats traditional firewall rules and works automatically to find anomalies.

AI in Human Resources is widely regarded as the perfect point, the ‘primordial glue’ of where AI can fully flourish. This is largely due to the fact that human resources is brimming with top quality, clean data and it is a department often pressed for time in most businesses.

Artificial intelligence in Retail is most commonly used and accepted in the digital retail, or ‘e-retail’ space. Just a few minutes on any e-commerce website and users are confronted by intelligent chatbots driving sales and assisting with commendations and purchases.

Conversation intelligence software such as natural language processing (NLP) helps companies interact with customers and follow up leads by analyzing user behavior and partitioning sales calls using speech recognition. Chatbots and virtual customer assistants allow retail companies to run a full-time customer service operation and answer basic questions without the involvement of human staff.

Recommendation engines use the power of machine learning and predictive analysis to provide personalized recommendations to each customer. Large e-commerce platforms like Amazon rely heavily on recommendation systems which boost their revenue of about one third.

AI in the Workplace seeks out inefficiency to adapt and improve service delivery. Any rules-based, repetitive task is in AI’s crosshairs which frees up time for employees to concentrate on tasks that require human thinking, strategy, and emotional intelligence. Through chatbots and virtual assistants, artificial intelligence helps businesses improve communication internally and externally by enabling individual personalization for each professional, allowing for enhanced focus and increased productivity.

Essentially this means that soon offices leveraging AI in the workplace will have two sets of teams, with each employee having a ‘digital duplicate’ handling the administrative, repetitive tasks, while the employee benefits through more time to create and innovate.

Innovating through Cultural Diversity

Embracing cultural diversity is one of WeAreBrain’s key values. Cultural diversity has made the work it does smarter! Jack says, “We’ve all heard the 21st-century catchphrases like ‘Innovate or die’, ‘Innovation is life’, ‘Growth is born from Innovation’ (notice the trend?). It’s something every good business keeps top of mind. If you don’t continually strive towards new ways to do what you do now, you’ll be left behind.”

It seems now more than ever the best way to boost one’s business ability to change is by having culturally and gender diverse teams. In a study published in Innovation: Management, Policy & Practice, the authors analyzed levels of gender diversity in research and development teams from 4,277 companies in Spain. The study found that those companies with more women in their employ were most likely to ‘introduce radical new innovations into the market’.

Another study based on the London Annual Business Survey revealed that businesses run by culturally diverse leadership teams were more likely to introduce new products than homogenous teams. Added to this, it’s well known that managers and leaders often hire those that are similar to them — but this can threaten innovation because teams are likely to conform to one school of thought. Often these are unconscious decisions so it is key for the business to actively promote a culturally diverse agenda.

Prestigious Achievements and Accolades  

WeAreBrain has been voted in the Emerce Top 100 and is a proud member of DDA, representing the leading digital service providers in the Netherlands. Alongside nominations for DIA Awards and Best of Swiss Web, the company’s Tur.ai platform was selected among the Top 25 innovations in the Accenture Innovation Awards and won a prestigious Spin Award.

WeAreBrain’s contribution to female entrepreneurship and gender equality in IT has been recognized by TheNextWomen and EY Winning Women.

Envisioning Future Implications of Technology

Jack envisions, “As AI becomes the norm in society, important decisions impacting much of the world’s economy and way of life are increasingly being made by machine algorithms. We are seeing that the consequences of technology built a few years ago have much broader ramifications on our society: election results, information spread, autonomous vehicles and weapons, fighting, and diagnosing diseases. These developments are now requiring us to think far more closely not only about our design principles for responsible AI, but also its role in our society and the moral and legal implications of its use.”

To address these concerns, many scientific and higher learning institutions such as Stanford University, UC Berkeley, and MIT, have established human-centred artificial intelligence research institutes. The aim is to bring awareness to the development and deployment of AI, bring a common ethical agenda into AI development, and use it to guide the development of intelligent machines. As a leading pioneer of the HAI methodology, Professor Li has outlined the guiding principles of HAI:

•  Development of AI must be guided by a concern for its human impact

•  AI should strive to augment and enhance humans, not replace them

•  AI must be more inspired by human intelligence

Jack notes that the aim of HAI is clear: to develop AI/ML systems to mimic human intelligence, decision-making, and emotional intelligence spectrums in order to benefit humanity’s growth raided by ethical machines. As one looks to a more technologically-advanced world with algorithms becoming key drivers in socio-economic growth, it is indeed comforting to know researchers such as Li are calling for collaboration and ethical review in AI development.

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