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 About Fractal Analytics:
 Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process. Learn more about us at: www.fractalanalytics.com
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Fractal Analytics Inc.
Harborside 3
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Jersey City, NJ 07311

  1. Leveraging AI capability across targeted Business Processes will accelerate in all industries.
  2. Disruptive AI technology in the Health Care industry will start to drive break-through for researchers, doctors, and patients.
  3. Self-driving transportation business models will accelerate across the transportation sector.
  4. New AI techniques will begin a "Moore's Law" exponential growth in the field!

Fractal Analytics Strategic Advisor, and former Vice President, IT and Shared Services - Procter & Gamble

Andy Walter

Chief Executive Officer, Cuddle.ai

  1. AI will go mainstream in progressive organisations expanding on both functional as well as enterprise-wide applications of AI.
  2. A new wave of enterprise applications will emerge that combines the power of AI & Design thinking to wow the ‘business consumer’ with refreshingly intuitive & beautiful experiences.
  1. AI will make strides in the healthcare Industry - The rapid rise in global population and the time and years of experience it takes to train a doctor has led to the shortage of physicians around the world. Artificial Intelligence has the potential to add tremendous value to the healthcare industry. From mining electronic medical records, to pharma, genomics and health insurance applications, artificial intelligence is establishing a foothold and gaining traction in a heavily regulated space that has conventionally been slow to move with the times. At the cutting edge of this wave are deep learning applications for medical imaging, where AI is starting to perform on a level comparable to doctors.
  2. The need and importance of good quality data to train algorithms with, is now recognized. The value of large amounts of data is now being respected, especially with deep learning – the most accurate algorithm is not always the most complex one, but that which has seen the widest spectrum of data. There is much to be gained by harnessing machine learning to crunch complex medical data. Artificial Intelligence not only improves diagnostics and patient care but saves costs and possibly even discovers new therapies. Additionally, deep learning is not affected by human factors such as emotions, fatigue and stress, reducing errors and biases caused by the same. A synergy between AI and the doctor’s expertise holds the key to revolutionizing the healthcare industry.

Pooja Rao

Natwar Mall

R&D Head,  Qure.ai

R&D Head, Qure.ai

Our Experts

Fractal Analytics Strategic Advisor, and former Senior Vice President, Performance Analytics Group - Dell

  1. Digital transformation in sales will accelerate – fuelled by advanced analytics, and innovative new AI-powered NLP-based technology to augment and dramatically improve traditional CRM systems.
  2. Given rapid advances and investment in advanced analytics, AI, and rapidly evolving technology solutions, legacy enterprise companies will have to decide whether to “leapfrog” existing tools and processes, or patiently build “ground up”. While this isn’t a new dilemma, it’s becoming increasingly important as competitors accelerate their AI efforts.
  3. Convergence of analytics, AI, technology, and behavioral sciences will transcend consumer applications and become a stronger presence in the workplace – e.g., sales digital transformation.
  4. Companies will get more serious about solving the data dilemma and “double down” on investments in data collection, storage, governance and use.
  5. Data, the new oil, will come under increasing scrutiny and legislation over access, and use of data across borders. Coined “data localism”, it will impact how companies store, exchange and use data around the world.
  6. Companies will scramble to figure out to utilize Blockchain technology to improve security, supply chain, and disintermediate traditional transactional systems and processes.
  7. The explosion in IOT devices and sensors will drive a heightened focus by enterprises, hardware suppliers, and analytics/AI providers on development and industrialization of models and algorithms to enable "edge analytics".

Amitabh Bose

Doug Hillary

The continued rise of AI in 2017 shows no slowing down as we turn into 2018 and beyond. Hype, big expectations and excitement about AI have been bounding, but so has its development, adoption and real-world value. It’s estimated that over 15 million Amazon Echos and five million Google Home have been sold so far, bringing an early generation AI into the consumers’ home. According to Forbes, 80 percent of enterprises are currently investing in AI. We fully expect AI momentum, across all fronts, to only hasten and grow stronger as we progress forward.

Looking ahead, we at Fractal see some common trends: AI is growing in speed, power and use; convergence with other trends - such as advanced analytics and behavioral science - is accelerating its value; and new, more innovative business use cases are arising daily. We also see a changes in how we interact with our AI interfaces, as voice recognition and interfaceless UIs become adopted by consumer and business populations. AI ethics and government regulation may also increase as the power of AI continues to grow.

Perhaps the most common prediction about AI is also the most important: AI’s real-world application, use and ROI will be at the forefront of AI investment and adoption. AI will be first and foremost about business value. 

Listed below are the bold and practical AI predictions from our experts. We look forward to 2018 with optimism and enthusiasm.

  1. AI continues to learn better and faster - We will see deep-learning and reinforcement learning algorithms continue to evolve rapidly and impact multiple AI based solutions. Automation of the model building /model learning will continue that will reduce the human effort in training models and the overall time spent in simpler AI training tasks.
  2. AI focused hardware We will see more AI-focused hardware (e.g.: Neural network chips) that will allow on-chip processing. This will increase the efficiency and the reach of the AI solutions.
  3. Multi-agent AI systems - Algorithms that deal with multiple agent (AI) systems and that incorporate complex interactions within AI systems will start developing. There will be developments in techniques and tools that allow for AI’s that interact with other(AI) systems.
  4. Computer Vision will move to video analytics -  We have already seen a great progress in image analytics – this work will start extending beyond images to understanding videos.  There will be large progress in understanding scenes, actions, motion and even context.
  5. AI policy making and regulations - Debates about ethics and regulations on AI systems will continue to increase, and we will see groups set-up to help build frameworks/policies for keeping up with the advancements of AI.

Suraj Amonkar

Vice President, Big Data, Fractal Analytics

Vice President, Big Data, Fractal Analytics

  1. Get to decision faster - Most companies are still “far away” from most decisions with current insights and analytics. Shortening this path and driving AI enabled decisions will be key focus.
  2. Value first - Capability first has been the priority in past 10 years with little or no business impact. Focus will be on value creation and ensuring the end user sees the real benefits.
  3. Knowledge that keeps on creating insights - Only 23% of existing information leveraged to drive new insights, only 33% of existing market research is digitized and current analytics is transactional with no knowledge creation. Translating all existing information into knowledge using AI based technology would be the key.
  4. Foresight based decisions - Most companies do not look at future and hence missed lots of trends and changes in the market place. In 2018, more and more companies will be asking for “what will happen” and will leverage analytics to improve probability of decision success.
  5. Vertical analytics strategy - Less focus on horizontal comprehensive capability development and more on narrow, focused yet completed analytics value creation from data to analytics, delivery, decision, activation and measurable results.
  6. Last Mile - Unrelenting focus on “last mile” of analytics value chain to change people’ decision making behaviors. Provide simple, easy to use and understand decision communication capabilities using behavioral science. 
  7. Synthesis - Focus on maximizing potential of existing data while selectively bring new data to drive better decisions. Synthesis of existing information and driving faster insights becomes #1 skill set for analytics team.
  8. Focus of “Scientists” will move from Data to Analytics, and, ultimately, to Business and Decision.

Eugene Roytburg

Managing Partner, 4i, Inc (a Fractal Analytics Company)

Managing Partner, 4i, Inc (a Fractal Analytics Company)

  1. Actual merging of online and offline shopper experience to drive a truly personalized experience and price - enabled by AI.
  2. Voice based AI will become commoditized, forcing the Apple, Amazon and Google's of the world to up their game on Siri / Alexa / Google Home, etc.

Bhaskar Roy

Client Partner and Head, Customer Analytics, Fractal Analytics

Client Partner and Head, Customer Analytics, Fractal Analytics

Fractal Analytics Strategic Advisor, and former Senior Vice President, Performance Analytics Group - Dell

Fractal Analytics Strategic Advisor, and former Vice President, IT and Shared Services Procter & Gamble

Vice President, Big Data, Fractal Analytics

Suraj Amonkar