My Work

Smukfest, held each summer in the woodlands of Skanderborg, hosts more than 150 world-renowned performers each year, such as Britney Spears, Shawn Mendes and deadmau5, plus up-and-coming Danish acts.

The festival’s bars, shops and installations are made from 100 percent recyclable materials, creating a whimsical atmosphere where attendees are encouraged to escape

 The AI industry has made impressive advancements but faces a computational challenge due to escalating power needs and costs. Quantum computing’s integration with AI and ML could offer scalable, energy-efficient solutions to address these issues to potentially offer enhanced AI capabilities. Although in nascent stages, this integration could drive scientific innovation and provide a competitive edge.

Quantum computers potentially outperform classical computers by speeding up workflows, enabling advanced generative AI models, and optimizing processes. With ongoing developments, these systems could solve larger, complex problems faster, reduce energy consumption and make AI and ML solutions more efficient.

IBM has recently launched its inaugural IBM Women Leaders in A.I. in recognition of women advancing their company’s journey to artificial intelligence across diverse industries around the globe—from California’s County of Sonoma to South Africa’s NedBank. And from Honda R&D in Japan to Bharti Airtel in India.

There is an opportunity for women to not only contribute to Artificial Intelligence (A.I.) – one of the modern era’s most important technologies – but help lead in its application

“Sometimes communicators will look at AI and say like, that’s not really for me, that’s more of a marketing tool. I found there’s a lot of fear and apprehension around really embracing AI tools. Now, I think it really is resonating and coming true, and that the medium of AI is becoming the message.” - Jennifer Clemente

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Over 21% plan production-level use of quantum computing over next 12-18 months, a 50% increase over the past two years

PALO ALTO, Calif. – June 18, 2024 – D-Wave Quantum Inc. (NYSE: QBTS) (“D-Wave” or the “Company”), a leader in quantum computing systems, software, and services, and the world’s first commercial supplier of quantum computers, announced the results of a new study today that reveals a majority of surveyed businesses actively using quantum computing foresee an exceptional return on investment (ROI) from their quantum optimization efforts — with an expected combined potential positive financial impact to reach up to an estimated $51.5 billion.

Announced at D-Wave’s global Qubits 2024 user conference, these findings

It’s no secret that AI is being adopted and developed at an astonishing rate. According to Stanford University’s 2024 AI Index Report, funding for generative AI experienced a significant increase in 2023, jumping to $25.2 billion, marking an eightfold increase from the previous year.

By now, every company (hopefully) has an AI plan in place, but it’s time to start thinking about where quantum computing fits into that plan. Companies that can envision how quantum computing and AI could be used together—and invest in both—will be well-positioned to gain a competitive edge by drawing on

Quantum computing has emerged as a more efficient way to tackle intricate problems without the need for specialized skills or heavy investments in new hardware. With cloud-based access to quantum resources, businesses can harness this technology to enhance operational efficiencies.

Quantum optimization excels in solving complex combinatorial challenges, making it ideal for industries that frequently deal with scenarios where small changes have widespread impact. Its applications are expanding, from improving delivery logistics and workforce management to optimizing telecommunication networks and cargo operations, all contributing to increased profitability, productivity, and sustainability.

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With 720,000 cases annually in the U.S., and a staggering mortality rate between 25 – 50%, sepsis isn’t just life-threatening; it doubles as one of the country’s most expensive inpatient conditions, consuming more than USD 27 billion annually. What’s worse is that COVID-19, like other infections, can lead to sepsis – threatening to tip overwhelmed ICUs over the edge.

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Discover how innovations in quantum computing are bringing powerful support to the world’s leading researchers on the front lines of materials science and advancements in generative AI — providing them with solutions that surpass what’s possible with classical computation alone. D-Wave’s Dr. Trevor Lanting, chief development officer, and Murray Thom, vice president of quantum technology evangelism, discuss advancements in coherent annealing quantum computing and its impact on minimizing thermal noise, allowing researchers to explore previously inaccessible quantum regimes that could lead to such breakthroughs. 

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Whether moving goods or farming land, civilizations have always sought to maximize resources, minimize costs, and improve efficiency — all practices that laid the foundation for optimization. In 1744, Swiss mathematician and physicist Leonhard Euler mentioned that nothing in the world takes place without it. From there, the discipline of optimization evolved alongside advancements in computer science, culminating today with quantum computers for optimization purposes.

D-Wave has a 25-year history of developing annealing quantum computers and continues to demonstrate excellence in optimization. We’re making impressive progress on the scalability of our quantum solutions, with commercial-grade technology capable of

As an member of the award-winning VMware Marketing AI Council, I worked to ensure AI messaging  consistency and alignment across VMware communications and marketing.

I also led a successful Q3 2023 Writer AI tool pilot for 20 Global Communications employees, boosting production efficiency of event communications by 30%.

Generative AI is creating waves across nearly every industry thanks to its powerful pattern recognition and data-analysis capabilities. Yet businesses hoping to adopt this technology face significant security, data privacy and infrastructure challenges. Traditional data centers often struggle to handle the demanding requirements of advanced AI workloads, raising concerns about capacity and suitability for the modern digital landscape.

It’s early days for us. We have to make sure that we do this right. We have to solve these fundamental problems first, like security and data privacy, before we can really see what value we can unlock from using generative AI solutions.

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Artificial intelligence is ushering in a new era of precision healthcare. With its ability to analyze vast amounts of data, identify patterns and generate new breakthroughs, AI is already giving healthcare professionals the power to make more accurate diagnoses, develop more personalized treatment plans, and improve overall patient care.  

At the forefront of this healthcare/AI revolution is Siemens Healthineers, which is taking a multi-cloud approach to turbocharge its AI efforts with enhanced security and accuracy. 

By adopting a multi-cloud strategy, Siemens Healthineers can access and analyze data from many sources, allowing it to develop more precise and effective AI algorithms. Accuracy is paramount when you’re dealing with people’s

CEOs are twice as likely to say new business-building is a top priority than in the past two years, according to a new report from McKinsey. In fact, 80% say these future endeavors will help them respond to shifts in demand — largely to sustainable products and services.

By 2026, then, leaders expect half of their revenues to come from businesses that haven’t been created yet, states the report. So urgent is the pace of digital transformation