
Canva's CCO Rob Giglio on Business Growth and the Future of Work
Giglio says Canva Sheets and Canva AI are allowing users to create different types of content like whiteboards, documents, presentations and social media posts in one place. This is streamlining workflows for companies.
'Canva has introduced the kind of features that businesses expect and need, like Single Sign-On (SSO), brand kits, user provisioning and approval workflows,' said Giglio. 'These factors are really driving [Canva's] adoption into businesses.'
Canva's AI is broad, going beyond text prompts. Giglio said Canva AI uses multiple models for different experiences, citing the popular background remover as an example.
Other AI features include text generation, whiteboards to presentations, language translation, image scaling and video creation via Google's V3. Canva Code even allows users to build widgets and interactive experiences via text prompts.
Looking forward, Giglio is most excited about product innovation around marketing and sales workflows. He says Canva Sheets is making the entire marketing process from creation to analysis better, with the recent acquisition of Magic Brief for content performance data.
Video editing is another area of focus, with increasing adoption for social media and marketing.
'We like to think of it as where creativity and productivity meet,' Giglio said, highlighting Canva's broad but effective features for different business functions.
Finally, Giglio said Canva is committed to the future workforce. He noted that AI, cloud platforms and multi-device access are now expected by the next generation entering the workforce and Canva wants to be the platform of choice as businesses adapt to these changing demands.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
22 minutes ago
- Yahoo
Deepfake AI Market worth $7,272.8 million by 2031
DELRAY BEACH, Fla., July 30, 2025 /PRNewswire/ -- According to MarketsandMarkets™, the global Deepfake AI Market size is projected to grow to USD 7,272.8 million by 2031 from USD 857.1 million in 2025, at a CAGR of 42.8% during the forecast period. Browse in-depth TOC on "Deepfake AI Market" 397 – Tables 59 - Figures414 – Pages Download PDF Brochure @ Scope of the Report Report Metrics Details Market size available for years 2020–2031 Base year considered 2024 Forecast period 2025–2031 Forecast units USD (Million) Segments covered Offering, Technology, Vertical, and Region Geographies covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America Companies covered Datambit (UK), Microsoft (US), AWS (US), Google (US), Intel (US), Veritone (US), Cogito Tech (US), Primeau Forensics (US), iProov (UK), Kairos (US), ValidSoft (US), MyHeritage (Israel), HyperVerge (US), BioID (Germany), DuckDuckGoose AI (Netherlands), Pindrop (US), Truepic (US), Synthesia (UK), (US), Deepware (Turkey), iDenfy (US), Q-Integrity (Switzerland), D-ID (Israel), Resemble AI (US), Sensity AI (Netherlands), Reality Defender (US), Attestiv (US), WeVerify (Germany), (US), Kroop AI (India), Respeecher (Ukraine), DeepSwap (US), Reface (Ukraine), (UK), Oz Forensics (UAE), Perfios (US), Illuminarty (US), Deepfake Detector (UK), buster (France), AutheticID (US), Jumio (US), and Paravision (US). The Deepfake AI Market is witnessing accelerated growth due to the rising adoption of multimodal detection systems that combine audio-visual signals with metadata analysis to enhance detection precision. As synthetic media becomes more layered, with deepfakes now blending facial animations, voice mimicry, and scene manipulation, enterprises are investing in tools that analyze cross-modal inconsistencies rather than relying on isolated visual cues. These advanced solutions are being embedded across high-stakes environments such as banking authentication flows, online proctoring, and digital onboarding platforms where real-time decisioning and high accuracy are critical. Multimodal detection also supports operational scalability by reducing false positives and improving model confidence, enabling enterprises to automate content trust decisions at volume. Regulatory scrutiny is further driving adoption, especially in sectors such as finance, government, and telecommunications, where content authenticity and user verification have become compliance priorities. With AI foundation models and transformer architectures now capable of jointly processing audio, video, and contextual metadata, the deepfake detection landscape is evolving into a strategic layer of enterprise risk management. Request Sample Pages@ Generative adversarial networks remain the backbone technology of deepfake AI development and detection, registering the largest share by market value in 2025 Among all core technologies underpinning the Deepfake AI Market, Generative Adversarial Networks (GANs) represent the largest and most commercially entrenched segment. Their bidirectional framework—comprising generator and discriminator models—forms the foundational mechanism for crafting synthetic media and serves as the analytical basis for detecting forgeries with increasing accuracy. GANs have matured from research prototypes to enterprise-grade engines that power a wide spectrum of deepfake capabilities, including face swapping, expression control, voice imitation, and image realism scoring. On the detection side, their adversarial structure is being reverse-engineered to identify digital fingerprints, compression artifacts, and inconsistencies in texture, lighting, or pixel alignment. GANs are also embedded in real-time media forensics and security pipelines, especially across sectors such as law enforcement and social platforms, where they aid in decoding malicious manipulation. The widespread availability of pre-trained GAN libraries and cloud-based tools is fueling enterprise adoption and reducing time-to-deployment for deepfake-centric solutions. Their continued evolution into variants like StyleGAN and conditional GANs is enabling more granular control and detection precision, positioning them as the dominant technology category in both deepfake generation and defense. BFSI is expected to be the fastest-growing vertical during the forecast period, fueled by a spike in synthetic fraud threats and regulatory pressure By vertical, the BFSI sector is expected to register the fastest growth in the Deepfake AI Market during the forecast period, driven by rising concerns around digital identity fraud, social engineering attacks, and synthetic KYC submissions. As financial institutions digitalize onboarding and service workflows, they are deploying advanced deepfake detection systems to validate customer identity during eKYC, video banking, and loan verification processes. Liveness detection and micro-expression analysis are increasingly being used to distinguish real users from AI-generated imposters, with regulatory mandates further accelerating deployment. Fraud analytics platforms are integrating deepfake-specific classifiers to monitor voice spoofing in call centers, manipulated transaction videos, and altered screenshots submitted in claims. Additionally, private banks and insurance providers are leveraging synthetic media analysis tools to prevent reputational and compliance risks linked to fake communications or phishing campaigns. Strategic partnerships with detection vendors and biometric verification startups are also rising, particularly in North America and Asia Pacific. With regulators in several jurisdictions issuing early-stage guidelines on synthetic identity detection, the BFSI segment is rapidly becoming the proving ground for enterprise-grade, compliant deepfake AI solutions. Inquire Before Buying@ Asia Pacific to witness the fastest growth in the Deepfake AI Market, accelerated by a surge in synthetic media abuse and high-volume digital onboarding across financial institutions Asia Pacific is witnessing the fastest growth in the Deepfake AI Market, fueled by rapid digital transformation, a booming social media user base, and mounting cybersecurity threats. Countries such as China, India, South Korea, and Japan are experiencing a surge in manipulated media cases, ranging from identity fraud to misinformation campaigns, which are prompting governments and enterprises to invest in detection and liveness verification technologies. Financial institutions across the region are embedding deepfake identification tools within eKYC and fraud prevention systems, especially in emerging markets with high digital onboarding volumes. Regulatory bodies have also begun tightening guidelines on content authenticity and AI usage, encouraging the adoption of compliant AI governance and media authentication layers. The region's large pool of AI research talent, combined with public-private collaborations, is accelerating the development of multimodal detection models customized for regional languages and facial features. Additionally, Asia Pacific's growing investments in metaverse infrastructure and synthetic media production are creating parallel demand for quality control tools. Enterprises in sectors such as BFSI, government, and media are now embedding deepfake detection capabilities at the infrastructure level, positioning Asia Pacific as the most dynamic growth hub for deepfake AI during the forecast period. Top Key Companies in Deepfake AI Market: The major players in the Deepfake AI Market include Datambit (UK), Microsoft (US), AWS (US), Google (US), Intel (US), Veritone (US), Cogito Tech (US), Primeau Forensics (US), iProov (UK), Kairos (US), ValidSoft (US), MyHeritage (Israel), HyperVerge (US), BioID (Germany), DuckDuckGoose AI (Netherlands), Pindrop (US), Truepic (US), Synthesia (UK), (US), Deepware (Turkey), iDenfy (US), Q-Integrity (Switzerland), D-ID (Israel), Resemble AI (US), Sensity AI (Netherlands), Reality Defender (US), Attestiv (US), WeVerify (Germany), (US), Kroop AI (India), Respeecher (Ukraine), DeepSwap (US), Reface (Ukraine), (UK), Oz Forensics (UAE), Perfios (US), Illuminarty (US), Deepfake Detector (UK), buster (France), AutheticID (US), Jumio (US), and Paravision (US). Browse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting Related Reports: Customer Data Platform Market - Global Forecast to 2030 NLP in Healthcare in Life Sciences Market - Global Forecast to 2030 Generative AI Market - Global Forecast to 2032 Conversational AI Market - Global Forecast to 2031 Small Language Models Market - Global Forecast to 2032 Get access to the latest updates on Deepfake AI Companies and Deepfake AI Industry About MarketsandMarkets™ MarketsandMarkets™ has beesn recognized as one of America's Best Management Consulting Firms by Forbes, as per their recent report. MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. With the widest lens on emerging technologies, we are proficient in co-creating supernormal growth for clients across the globe. Today, 80% of Fortune 2000 companies rely on MarketsandMarkets, and 90 of the top 100 companies in each sector trust us to accelerate their revenue growth. With a global clientele of over 13,000 organizations, we help businesses thrive in a disruptive ecosystem. The B2B economy is witnessing the emergence of $25 trillion in new revenue streams that are replacing existing ones within this decade. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing. Built on the 'GIVE Growth' principle, we collaborate with several Forbes Global 2000 B2B companies to keep them future-ready. Our insights and strategies are powered by industry experts, cutting-edge AI, and our Market Intelligence Cloud, KnowledgeStore™, which integrates research and provides ecosystem-wide visibility into revenue shifts. To find out more, visit or follow us on Twitter , LinkedIn and Facebook . Contact:Mr. Rohan SalgarkarMarketsandMarkets™ INC.1615 South Congress 103, Delray Beach, FL 33445USA: +1-888-600-6441Email: sales@ Our Website: Logo: View original content: SOURCE MarketsandMarkets
Yahoo
22 minutes ago
- Yahoo
Google to invest $6 billion in southern India data centre, sources say
By Sudarshan Varadhan SINGAPORE (Reuters) -Google will invest $6 billion to develop a 1-gigawatt data centre and its power infrastructure in the southern Indian state of Andhra Pradesh in the Alphabet unit's first such investment in India, government sources said on Wednesday. Due to be built in the port city of Visakhapatnam, the data centre investment includes $2 billion in renewable energy capacity that will be used to power the facility, two Andhra Pradesh government sources with direct knowledge of the matter told Reuters. The search giant's data centre will be the largest in capacity and investment size in Asia and is part a multi-billion-dollar expansion of its data centre portfolio across the region in countries including Singapore, Malaysia and Thailand. In April, Alphabet said it was still committed to spending some $75 billion this year to build data centre capacity despite the economic uncertainty resulting from U.S. President Donald Trump's global tariff offensive. Alphabet did not immediately respond to Reuters' request for comment. Andhra Pradesh's information technology minister Nara Lokesh, who is in Singapore to discuss investments with thegovernment and business leaders there, did not comment on the Google investment. "We've made certain announcements like Sify, which are public," he said, referring to a 550-MW data centre Sify Technologies plans to build in the state. "There are certain announcements which are not yet public. In October, we will make those announcements." STATE'S POST-SPLIT INVESTMENT DRIVE Andhra Pradesh, a state run by a leading ally of India's Prime Minister Narendra Modi, was split into two in 2014, losing its former capital Hyderabad and a major revenue source to the newly created Telangana state. Andhra Pradesh has since been looking to attract investments to ease the financial strains of high debt and social spending. Lokesh said Andhra Pradesh has already been able to finalise investments in data centres with total capacity of 1.6 GW, adding that it aims to build 6 GW of data centres over the next five years from nearly zero currently. He expects the initial 1.6 GW of already agreed data centres to be operational in the next 24 months. That would be more than the 1.4 GW currently in operation in the entire country, according to real estate consultancy Anarock. "We're also working on getting three cable landing stations in Visakhapatnam. We want to create enough of cable network, which will be two times what Mumbai has today," Lokesh said. Cable landing stations - typically located close to data centres requiring fast and reliable connections to global networks - are used to store equipment which receives and relays data from undersea cables. Lokesh also said the state was looking to build up energy infrastructure to meet sustainability requirements of data centres. He said he anticipated power generation capacity requirements of as much as 10 GW from the electricity-intensive industry over the next five years. "Majority will end up being actually green energy, and that's the unique value proposition that we bring to the table," he said. Some of the additional capacity will be coal-fired, however, as data centres require reliable, high volume power throughout the day, he added. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data


CNET
23 minutes ago
- CNET
YouTube's Age-Estimation Tech Will Spot Kids Pretending to Be Adults. Here's How It Works
If kids are lying about their age, YouTube will know about it. Or at least will try to find out. The streaming service announced it's rolling out age-estimation technology that will use various data to determine if someone is under the age of 18, and then use that signal "to deliver our age-appropriate product experiences and protections." Basically -- assuming it works as it should -- kids will not be able to access what YouTube deems as age-restricted content. Google, YouTube's parent company, announced in February that it would begin deploying this type of technology, which relies on AI, to determine users' ages. YouTube said it will test the machine-learning tech on a small set of users in the US to estimate their age. Some of the signals they will look at include "the types of videos a user is searching for, the categories of videos they have watched, or the longevity of the account." After ensuring the age-verification is working as intended, YouTube will then roll it out more widely. The move is another step in the growing age-verification push that is being hastened by the US and other governments trying to prevent children from accessing content deemed harmful, unhealthy and not appropriate for their age. If its age-estimation system decides someone is under 18, YouTube will then: disable personalized advertising turn on digital wellbeing tools add safeguards to recommendations, including limiting repetitive views of some content People who are actually adults but who have been wrongly identified as children will be able to verify that they are 18 or older by using a credit card or a government ID.