Houston's DataCon can help prepare business leaders for the digital revolution in AI and machine learning. Getty Images

Looming on the horizon is a data tsunami coming towards us at breakneck speed. Companies have worked hard to keep up, creating digital transformation, taking manual processes from desktops, clipboards, and the paper paradigm to the Cloud. We're now sitting on huge quantities of idle bits of information called dark data. It's over collected and unused data that has the potential power to create decision-making brilliance.

Business leaders are attempting to optimize siloed data – unrelated data collected in databases and spreadsheets or obsolete apps, to make critical decisions. We currently connect these siloes with other systems using a data processing step called ETL – Extract, Transform and Load. Take the data from one place, transform it so it can relate to another data resource and then load that data to another place for analysis. It's a big, time consuming, intermediary step we have figured out how to circumvent. "NoETL" technology is the next-generation magic wand of machine thinking and it's a game-changer.

As non-technical business leaders, we rely on our partners in IT to give us meaningful data that charts our course. They've been our faithful navigators. We've made the recommended investment in IT infrastructure and technology and counted on receiving analytics that will result in winning outcomes. It's now time to sit down at the table and have new conversations with IT leadership around AI.

A tectonic shift

We are now in a new place. AI has come upon us quickly and the promise of ROI is great. There are new technologies that give business leaders advantages never before realized. Data science is the new crystal ball to the future of business. Automation and machine learning are taking historical data to a look ahead using algorithms and mathematical modeling. It's a new predictive mindset. What business leader wouldn't want that crystal ball?

The real assets of your business exist not in better machines but in your current data stores which are like coal mines waiting for data science to turn those lumps of coal into data diamonds.

There are new vocabulary words associated with data analytics. Data science thought leaders are preparing the way for businesses to have learning opportunities and to know which resources to tap for direction in creating new competitive dynamics. Don't wait too long to be curious. The early adopters are already a step ahead and the competitive marketplace is changing in unexpected ways.

Leadership resources for the implementation of AI

Legacy businesses with data lakes are ripe for action. Who should lead the charge? It's up to the C-suite to have intentional conversations around data science. It's up to leadership to be ready to speak and understand new concepts and vocabulary combined with leaps of faith needed to join the new world order of information.

Learning resources 

Proactively look for learning opportunities. There are no excuses for not taking the initiative. No matter where you are in your career – this isn't something to linger about.

One upcoming seminar around AI and automation collaboration and education is DataCon Houston. It's an annual conference that brings important concepts around AI and Automation to business leaders. The target audience is not IT professionals, although there will be some in attendance; it's meant primarily to help the C-suite and non-technical leaders know where to begin and where to find that new vocabulary and translative resources. AI will affect every person in every business, and we must be ready for the cultural shifts that will come with the technological shifts.

Authors and thought leaders — George Danner, Dave McComb, and Gerald Kane will be speaking at DataCon October 10, 2019. In addition, Javier Fadul, director of innovation for HTX Labs will be speaking about XR and data visualization and its use in training employees and creating safer workplaces. Stefanos Damianakis will be teaching machine learning 101 and Juan Sequeda, principal scientist of data.world will present his UltraWrap NoETL patented technology.

Solving the unsolvable

The future of decision-making will render in blinks of an eye. Problems we thought unsolvable will suddenly have answers. Business leaders must get behind the leap of faith required for our own companies and push learning and understanding forward across the organization at all levels. AI and machine learning are the vortex of change. Are you ready for AI?

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Suzette Cotto is CEO of Innovate Social Media, a digital marketing agency specializing marketing for startups in the medical, technology, and energy industries. For more information on DataCon Houston 2019, please visit: https://incitelogix.com/datacon-houston-2019/

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$5B Austin medical center, anchored by MD Anderson, to break ground this fall

moving forward

Construction on the $1 billion first phase of the AI-native University of Texas Dell Medical Center in Austin—which will feature a hospital operated by Houston’s UT MD Anderson Cancer Center—is set to start this fall.

The UT System Board of Regents approved funding for first-phase construction on Aug. 12.

The medical center—now expected to cost $5 billion, up from the initial $2.9 billion estimate—will span about 2.5 million square feet. It will include 300 to 500 patient beds, outpatient facilities, an emergency department and specialized care for cancer patients.

MD Anderson will bring its world-renowned oncology programs to the center’s integrated health care model, Dr. Claudia Lucchinetti, senior vice president of medical affairs at UT Austin and dean of the university’s Dell Medical School, tells Health Leaders.

Earlier this year, Austin tech billionaire Michael Dell and his wife, Susan, pledged $750 million for development of the medical center. The medical center, scheduled for completion in December 2030, will be a cornerstone of the new 300-acre UT Dell Campus for Advanced Research, a medical education and research hub.

“Through this new campus and medical center, Texas will lead America in health care innovation,” Gov. Greg Abbott said when the research campus was announced in April. “The next generation of medical breakthroughs will take place in Central Texas.”

The medical center will fold AI tools and other technology into the infrastructure, rather than having them added after it’s built. Among other capabilities, the technology will monitor real-time medical data, automate data entry, and help health care professionals quickly predict and identify risks to patients, according to Health Leaders.

“We are not just building a new medical center,” Lucchinetti says. “We are building a fundamentally new model of health. It’s not just a new facility. It’s not just a new collaboration. It is a convergence of capabilities that rarely come together at the same time.”

Rice lands $15M U.S. Army award to launch next-gen wireless research center

defense funding

The U.S. Army Research Office has awarded Rice University $15 million to establish a new center for next-generation sensing and communications.

The five-year research center—dubbed the Center for Large Aperture Secure Sensing, Imaging and Communications (CLASSIC)—will unite researchers from universities and national laboratories to develop advanced antenna technologies for future wireless systems. Edward Knightly, the Sheafor-Lindsay Professor of Electrical and Computer Engineering at Rice, will lead the center that “combines expertise in wireless networking, antennas, radar, artificial intelligence, circuits and physics to address growing demands on wireless systems,” according to Rice.

“The challenges we’re tackling require advances that span physics, hardware, communications and computing," Knightly said in a news release. “By combining those strengths in a single center, we can accelerate the development and demonstration of technologies that would not be possible through individual efforts alone.”

Joining Knightly will be Ashutosh Sabharwal of Rice, Sensen Li of the University of Texas at Austin, Hou-Tong Chen of Los Alamos National Laboratory, Danijela Cabric of UCLA, Josep M. Jornet and Tommaso Melodia of Northeastern University, Daniel M. Mittleman of Brown University, and Willie Padilla of Duke University.

Industry partners include Booz Allen Hamilton, Intel, Keysight, Lockheed Martin, MITRE, Northrop Grumman, Qualcomm and Raytheon.

CLASSIC researchers will investigate how large-scale antenna arrays (ELSAAs) can expand the capabilities of wireless systems where technology is limited.

ELSAAs use thousands of coordinated antenna elements to direct radio waves. Researchers aim to develop ways to use the technology to help maintain steady communication when signals are blocked or disrupted and to detect and generate detailed images of concealed objects.

Along with ELSAAs, the center will work to develop sensing techniques for threat detection, study wireless jamming and build resilient high-speed wireless networks. Researchers will ultimately validate the technology in labs and via drone-based field trials.

CLASSIC will also work on developing an AI-driven modeling framework that will simulate complex electromagnetic environments in real time.

“This award demonstrates Rice’s leadership in tackling complex national research challenges through collaboration across disciplines and institutions,” David Sholl, executive vice president for research at Rice, added in the release.