Real declarative titles from real consulting decks.

“Sustained investments and focus in Cash Equities has spurred substantial growth”

“Willingness to pay for personalization is also higher among younger generations”

“Breaks and sufficient recognition continue to be most valued by surveyed nurses”

“Customers say in-store shopping does not deliver a consistent luxury experience”

“Fossil fuel demand is projected to peak soon, but the outlook remains uncertain”

“Finland has both hardware and software start-ups focusing on quantum computing.”

“Our newer vintages are more premium and provide a continued platform for growth”

“Our leading value propositions are designed to deliver relevant, superior value”

“Fashion brands will look to Asia growth markets such as India for manufacturing”

“In 2025, sportswear is expected to continue to grow faster than fashion overall”

“Innovation culture is not created or determined by a widely followed “playbook””

“We have grown our high-quality deposit franchise through multi-year investments”

“LANXESS enhances its disclosures according to SASB and TCFD reporting standards”

“More than a third of consumers (38%) still keep their old smartphone as a spare”

“The FoW will likely affect environmental, social and corporate governance (ESG)”

“DEPENDING ON THE FIELD OF ACTIVITY, DIFFERENT TYPES OF COPERNICUS DATA ARE USED”

“DEPENDING ON THE FIELD OF ACTIVITY, DIFFERENT TYPES OF COPERNICUS DATA ARE USED”

“EO DATA CAN BE A SUPPLEMENTARY TOOL IN THE RETRIEVAL OF AIR QUALITY INFORMATION”

“Dynamics are beginning to find ways of using emerging technology in their work.”

“Unicorn creation tracing pre-COVID levels — Gen AI major driver of new unicorns”

“5. Transform culture: Empower people, build trust and evolve how work gets done”

“A look ahead at the fast-paced evolution of technology, regulation and business”

“A look ahead at the fast-paced evolution of technology, regulation and business”

“ML for life science: AlphaFold predicts de novo 3D structure of folded proteins”

“88% of 4,000 researchers who published papers at NeurIPS, ICML or ICLR were men”

“Big tech companies monetise cloud computation, but not their hosted AI services”

“It is also still early, there are only 2 million industrial robots in the world”

“The evolution of AI reward signals towards environments with verifiable rewards”

“Can vision models align with human brains...and how does that alignment emerge?”

“Robot chemists scale discovery at 10x human speed and 1,000 experiments per day”

“AI-first companies accelerate their early revenue growth faster than SaaS peers”

“But were implicit reasoning capabilities staring us in the face the whole time?”

“...while cases jam up the court system and provide little clarity over fair use”

“Industry attitudes to copyright diverge as anger from content creators rises...”

“Big fat liars: large language models are less truthful than their smaller peers”

“26% of AI research papers make their code available and 60% make use of PyTorch”

“Careful data selection saves time and money by mitigating the pains of big data”

“Better datasets for machine learning in production: legal documents and malware”

“Real-time computer vision protects employees from workplace injuries (or worse)”

“Deep learning automates 98% of stock replenishment decisions for online grocers”

“Investing in AI: mega rounds are now commonplace as AI startups mature globally”

“Language models for proteins: a familiar story of open source and scaled models”

“In a gold rush for compute, companies build bigger than national supercomputers”

“DeepMind and OpenAI alums form new startups and Meta disbands its core AI group”

“Drug discovery, the flagship “AI for good” application, is not immune to misuse”

“A widening compute chasm is separating industry from academia in large model AI”

“Segment Anything: a promptable segmentation model with zero-shot generalisation”

“Real world-inspired clinical system design for automated medical image analysis”

“Open source AI is on a tear at a time when incumbents push for closed source AI”

“The US continues to lead by number of AI unicorns, followed by China and the UK”

“2022 Prediction: NVIDIA forms a strategic relationship with an AGI organization”

“PyTorch is also more popular than TensorFlow in paper implementations on GitHub”

“A new generation of transformer language models are unlocking new NLP use-cases”

“Attention turns to computer vision tasks like object detection and segmentation”

“Prospective testing begins for privacy-preserving AI applied to medical imaging”

“American institutions and corporations continue to dominate NeurIPS 2019 papers”

“Given mounting concerns over chips, cross border M&A remains highly politicised”

“Access to tools creates new risks — security must be foundational, not optional”

“AI in action (II/III) | Using GenAI-based business intelligence to drive impact”

“Focus on building lean MCP servers, leverage dynamic server discovery if needed”

“Make it business-led – it’s a transformation effort, not just a tech deployment”

“Every time I fire a linguist, the performance of the speech recognizer goes up.”

“CapEx Spend @ Big Six* Tech Companies (USA) = +21% Annual Growth Over Ten Years”

“Data Center Compute (xAI Colossus as Proxy) = 0 to 200,000 GPUs in Seven Months”

“Employment Evolution – Q2:22-Q2:24 = AI-Related Job Titles +200% Over Two Years”

“INTERNET USERS = @ >50% GLOBAL PENETRATION... NEW GROWTH REMAINS HARDER TO FIND”

“Telehealth / Telemedicine = Strengthening Patient <> Practitioner Relationships”

“Belle / TopSports = Digitization + Gamification Can Drive Same-Store-Sales Lift”

“Opportunities for rising online customer monetization are likely in the offing.”

“Opportunities for rising online customer monetization are likely in the offing.”

“MEGA-TREND OF 21ST CENTURY = EMPOWERMENT OF PEOPLE VIA CONNECTED MOBILE DEVICES”

“Magnitude of Upcoming Change Will be Stunning - We are Still in Spring Training”

“Global Interactive Gaming = Mainstream / Evolving Rapidly / Still Early Days...”

“Digital Subscriptions = Rising Owing to Massive User Experience Improvements...”

“Enterprise Software = Customer Expectations -> Mirroring Those of Consumer Apps”

“China On-Demand Bike Sharing = High Frequency… 2/3 Users Ride 3+ Times Per Week”

“China On-Demand Bike Sharing = Mobile Innovation Driving Significant Usage Ramp”

“India Mobile Hardware (2012-Q1:17) = Intense Competition → Massive Share Shifts”

“...Technology Disruption Drivers = Rising & Cheaper Connectivity + Data Sharing”

“Consumer Confidence = High & Rising… Index @ 100 vs. 87 Fifty-Five Year Average”