UltraSight Brings AI Technology to Improve Detection of Cardiovascular Diseases

Principal Analyst, Advanced Analytics

Summary Bullets:

• Applying artificial intelligence (AI) to healthcare has been the goal of some incumbent technology startup companies. Despite some progress, breakthroughs have proved elusive.

• Despite the difficulties encountered, UltraSight has brought to market an ultrasound software that utilizes AI to produce diagnostic quality images and provides real-time operational instructions.

On August 25, UltraSight received permission to use the conformité européenne (CE) mark on its UltraSight cardiac imaging software for use on ultrasound devices. The CE mark is required for select items sold in the European Union. The mark indicates that the manufacturer or importer of that product affirms that it is in compliance with the relevant EU legislation and the product may be sold anywhere in the European Economic Area. The permission to use the CE mark on a product is an essential milestone in product development, and the UltraSight software will improve the detection of cardiac irregularities, especially in emergencies.

Continue reading “UltraSight Brings AI Technology to Improve Detection of Cardiovascular Diseases”

[MS Word] Twins: Siemens and Nvidia Partner to Expand Industrial Twinning

Principal Analyst, Advanced Analytics

Summary Bullets:

• Much of the focus and hype regarding the digital world has been limited to providing immersive consumer entertainment.

• While the world awaits the metaverse, companies such as Siemens and Nvidia are building the software and hardware that helps businesses take advantage of digital technology.

The naming game that accompanies the introduction of new technologies can confuse end-users and perhaps impede adoption. The words virtual reality, augmented reality, and metaverse all describe a concept first introduced by Yale Computer Science Professor David Gelernter. In his 1992 book, Mirror Worlds, Gelernter describes a virtual, immersive world where many aspects of public life exist online as an extension and mirror or twin to the physical world. Although Professor Gelernter defined the notion of digital twinning, the roots of twinning go back to the Apollo space program as NASA built a physical twin for each spacecraft headed to the moon for troubleshooting purposes. The existence of this physical twin proved invaluable in returning the damaged Apollo 13 safely to earth. Continue reading “[MS Word] Twins: Siemens and Nvidia Partner to Expand Industrial Twinning”

Managing AI with Speed and Scale: Tibco Launches a ModelOps Platform

Will Stofega – Principal Analyst, Advanced Analytics

Summary Bullets:

• Tibco’s ModelOps will help businesses ensure that the value of ‘the AI Model’ can be retained and improved throughout the model’s lifecycle.

• The complexity of AI can slow the deployment of models. Tibco’s ModelOps allows even non-programmers to move a model from development to deployment.

Artificial intelligence (AI) has quickly become a must-have tool for businesses. While AI has enabled businesses to gain new insights into their performance, its management and operational aspects have lagged behind, creating bottlenecks in deployment. In addition, companies are carrying a large amount of under-deployed and unrefreshed models that drain budgets and add to what is often referred to as ‘model debt.’ Some of these AI models are not utilizing the most recent data or have drifted away from their original business purpose. AI models and data sets continue to grow in size and complexity, requiring larger teams of software engineers to transform a model into an application.

Continue reading “Managing AI with Speed and Scale: Tibco Launches a ModelOps Platform”

Speechmatics Cracks Number Transcription with New Entity Formatting

W. Stofega

Summary Bullets:

  • Accurately interpreting speech has posed challenges due to the variation in meaning and context that occurs during ordinary conversation.
  • Entity formatting or number interpretation is notoriously difficult to achieve. People might say ’oh’ instead of ’zero,’ or use ‘triple three’ instead of ‘3-3-3.’

Speechmatics was founded by Dr. Tony Robinson in 2006 and is based in Cambridge, England (UK). Robinson was a pioneer in applying recurrent neural and deep neural networks to automatic speech recognition (ASR). Speechmatics employs approximately 250 workers and is privately held. In 2012, the company began offering its ASR software to enterprise businesses on a usage-based revenue model.

Continue reading “Speechmatics Cracks Number Transcription with New Entity Formatting”

No More Moonshots: IBM Emphasizes Practical AI at Think 2022

W. Stofega

Summary Bullets:

  • CEO Arvind Krishna outlined an AI development strategy that helps businesses become more efficient by eliminating manual processes.
  • IBM’s strategy looks to bring technology to customers to help them accomplish a complete and integrated digital transformation.

Although Think 2022 did not produce headline-grabbing announcements, it did provide customers, the financial community, and the tech press with guidance regarding IBM’s future product strategy. The company’s CEO, Arvind Krishna, expressed intentions to focus on product development related to more practical use cases for artificial intelligence (AI), rather than ‘moonshots.’ To be clear, IBM is not abandoning its heritage of developing new technology; however, Krishna believes that AI projects must bring practical values to the customer and that more ambitious, aspirational initiatives belong in a research lab. One example of IBM’s more pragmatic approach, and the strategy it plans to expand, is how it’s working with McDonald’s. IBM is looking to help the fast-food company use AI to help lower costs and boost efficiency by automating customer orders. An example of a practical solution that will appeal to a broad audience is Watson AIOps, which looks to apply AI to information technology to increase productivity by being predictive, rather than reactive.

Continue reading “No More Moonshots: IBM Emphasizes Practical AI at Think 2022”

Google Unifies Data Storage with BigLake   

Principal Analyst, Advanced Analytics

Summary Bullets:

  • Companies rely upon data lakes to store massive amounts of unstructured data. However, data lakes are not equipped with the necessary tools for deep analysis.
  • With Google’s BigLake, users can utilize analysis tools to query their data from a single platform, avoiding the risk and expense of moving data to a platform with more functions.

The ever-increasing amount of data collected by businesses, governments, and related organizations creates both opportunities and problems; the ability to collect and analyze data allows companies to understand their customer’s preferences quickly and accurately.  At the same time, the amount of data ingested continues to grow exponentially, overwhelming efforts to manage and analyze the data effectively.  Creating even more challenges in data collection has been the shift from the orderly, defined tables of structured data stored in a data warehouse to the exabytes of raw unstructured data, including text messages, audio files, videos, and all of the by-products of the digital world.  Continue reading “Google Unifies Data Storage with BigLake   “

IBM Sells Watson Health: Running Before Walking?

Summary Bullets:

Principal Analyst, Advanced Analytics

• IBM leveraged Deep Blue, a supercomputer, to victory over chess champion Gary Kasparov and Watson’s subsequent victory over Jeopardy champion Ken Jennings to highlight the promise of AI.

• IBM hoped to expand Watson beyond game playing to solving problems that had proven intractable to business managers. Seeking a challenge, IBM adapted Watson to diagnose and treat cancer.

IBM’s experience developing the platform for Jeopardy gave the company hope that it could broaden Watson’s capabilities. Key to the success of Watson’s victory at Jeopardy was the development of DeepQA, a specialized software architecture that, according to IBM, “generates a wide range of possibilities and for each [query] develops a level of confidence by gathering, analyzing, and assessing evidence.”

Continue reading “IBM Sells Watson Health: Running Before Walking?”

Bringing Machine Learning to the Masses: AWS Announces sagemaker Canvas

Bringing Machine Learning to the Masses: AWS Announces Sagemaker Canvas

Summary Bullets

Will Stofega, Principal Analyst, Advanced Analytics

• SageMaker Canvas looks to democratize access to machine learning (ML).

• Access to analytic tools will generate a better understanding of company performance.

When discussing the future of artificial intelligence (AI) and ML, there is often an emphasis on advanced technical capabilities that will help realize futuristic visions such as self-driving cars. Given the competitive advantages at stake, it is no surprise that demand for skilled AI and ML specialists has quickly outstripped supply.

During his AWS re:Invent 2021 presentation, Bratin Saha, Vice President, Machine Learning, noted that AI and ML is the fastest-growing job category, posting a 74% growth rate in the U.S. over the past four years (per LinkedIn’s 2020 Emerging Jobs Report). Not surprisingly, this has led to a shortage of qualified AI and ML specialists. According to Saha, AWS customers are looking for solutions that empower more employees to do ML. This need for access by non-technical staff has led AWS to develop SageMaker Canvas. Continue reading “Bringing Machine Learning to the Masses: AWS Announces sagemaker Canvas”