Reality And Errors About The Future Of Artificial Intelligence (AI)

  • “More than 40% of companies expect AI to be a game changer. The German government also wants to accelerate the introduction and development of AI technologies. It plans to invest 3 billion euros in AI research by 2025. But 77% of companies also say that acceptance in the economy is a challenge. 
  • According to Statista, the world’s large data market will grow to $ 103 billion by 2027, more than doubling its market size in 2018.”

https://www.google.com/amp/s/mc.ai/reality-and-errors-about-the-future-of-artificial-intelligence-ai/amp/

China’s AI Industry to Top $30B by 2022: Report: Chinese Institute of Electronics- PingWest

  • “China is playing a leading role in computer vision and language recognition, which is expected to boost the industry to more than $8 billion by 2022, the report says.
  • By the end of 2018, there were more than 1.9 million new AI professionals over the world, half of whom were from the United States.
  • Additionally, a total of 367 schools in the world were engaged in AI research by the end of 2018, among which the United States had 168 schools and China 33.”

https://www.google.com/amp/s/en.pingwest.com/amp/w/5395

Four Ways Leaders Can Gain Value from AI and Advanced Analytics – Knowledge@Wharton

“Four self-reflections for leaders that make a case for why they need to consider adopting AI, ML and advanced analytics.

(1) The power and the limitations of tacit knowledge – In comes a pillar of advanced analytics that uses machine learning for predictive modeling.

(2) Cognitive challenges in processing multi-dimensional spaces – These algorithms fall in the descriptive analytics pillar, a branch of machine learning that generates business value by exploring and identifying interesting patterns in your hyper-dimensional data

(3) Our weakness in counter-factual thinking – Overcoming this requires embracing causal analytics, a pillar that is most often missed out by the industry ‘ladder of analytics’ frameworks

(4) Our challenges in combinatorial thinking – Combinatorial thinking, which is encompassed in the prescriptive analytics pillar of advanced analytics, can provide answers.

  • In short, advanced analytics, machine learning and AI are arguably the most powerful general-purpose technologies invented since the advent of modern computing. Extracting value from these is an imperative for business and society. It requires a deeper understanding and self-reflection among leaders of human strengths and frailties in contrast to that of modern, software based, machines and algorithms.”

https://knowledge.wharton.upenn.edu/article/four-ways-leaders-can-gain-value-ai-advanced-analytics/


Knowledge at Wharton

https://knowledge.wharton.upenn.edu

The State of Digital Banking Transformation

  • “Unfortunately, as we found in the area of innovation, a surprisingly small number of financial institutions (12%) consider themselves to be digital transformation ‘leaders’, with 34% considering themselves to be ‘fast followers’ and 55% stating they were either ‘mainstream players’ or ‘laggards’.”
  • https://thefinancialbrand.com/92221/state-of-digital-banking-transformation-pega-trefler/

  • Jim Marous
  • Co-Publisher
  • http://linkedin.com/in/jimmarou
  • Apple’s Latest AI Acquisition Is A Glimpse Into Future Devices

    • “Apple has reportedly paid $200 million to acquire Seattle-based artificial intelligence company Xnor.ai, which specialises in edge-based AI.
    • Whilst Siri has fallen behind Amazon’s Alexa and, in particular, Google’s Assistant – Apple might have its sights on an entirely different goal with this acquisition: giving users control of extremely personal data. 
    • If concerns around data privacy become a key – or core – factor in purchasing smart devices, then Apple is likely best placed to satisfy those buyers because of acquisitions like Xnor.ai.”

    https://www.google.com/amp/s/www.forbes.com/sites/jaymcgregor/2020/01/18/apples-latest-ai-acquisition-is-a-glimpse-into-future-devices/amp/