TechCrunch

OCTOBER 26, 2020

One other selling point is the company’s use of machine learning to predict where problems with water systems might arise — avoiding the need for more costly investments into infrastructure. Microsoft commits to putting more water than it consumes back into the ecosystems where it operates by 2030.

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TechCrunch

JULY 19, 2022

. “Virtually all enterprise organizations have made significant resource contributions to machine learning to give themselves an advantage — whether that value is in the form of product differentiation, revenue generation, cost savings or efficiencies,” Sestito told TechCrunch in an email interview.

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CIO

JANUARY 2, 2025

Entre las tecnologas en las que centrarn sus esfuerzos, cita la inteligencia artificial y el machine learning , la computacin en la nube y la apuesta por la computacin avanzada y la computacin cuntica. Adems, cmo no, la ciberseguridad.

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TechCrunch

FEBRUARY 14, 2023

The startup also plans to introduce artificial intelligence and machine learning that can make sense of the data the outfit has been collecting and better empower it to estimate e-booking and shipping costs, Choi explained. billion in 2030 , up from $2.92 and China], and more companies are reshoring the U.S.

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Software Review Artificial Inteligence Tools Software 247

TechCrunch

MAY 24, 2022

It also uses machine learning to predict spikes and troughs in carbon intensity, allowing customers to time their energy use to trim their carbon footprints. million customers in New England, has an aggressive target of reaching net-zero carbon emissions by 2030. His company, which serves 4.4

Energy 209

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CIO

DECEMBER 18, 2023

AI methods based on machine learning allow us to model climate and weather, identify patterns and make accurate predictions of changes in global temperature by analyzing large amounts of weather and climate data. billion USD to the global economy by 2030 and reduce greenhouse gas emissions by 4%. “We

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Artificial Inteligence Energy Sustainability Data Center 178

The Crazy Programmer

JANUARY 12, 2022

According to the research, over 50% of jobs in America will go automated by the end of 2030. One more research showed that machine learning processing would be advanced. Oxford University’s report also warned that software engineers’ work would be computerized when machine learning technology advanced.

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Artificial Inteligence Artificial Intelligence Machine Learning Guidelines 221

CIO

OCTOBER 16, 2023

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. Predictive AI utilizes machine learning algorithms to learn from historical data and identify patterns and relationships. Artificial Intelligence, Machine Learning

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Artificial Inteligence Artificial Intelligence Machine Learning Hardware 206

TechCrunch

NOVEMBER 13, 2021

The Pan American Health Organization estimates that by 2030, “hunger will affect 67 million people in the region, a figure that does not take into account repercussions of the COVID-19 pandemic.”. For example, Sensix from Minas Gerais, Brazil, uses drones and machine learning to map lands’ fertility.

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Sustainability Machine Learning Artificial Inteligence Windows 245

TechCrunch

MAY 20, 2021

Chatbots spotlight machine learning’s trillion-dollar potential. By 2030, the middle-class population in Mexico is expected to reach 95 million , placing it in the top 10 countries with the highest share of global middle-class consumption. More posts by this contributor.

Technical Review 295

Technical Review Software Review Culture Technology 295

CIO

JANUARY 28, 2025

According to Jyoti, AI and machine learning are leading the way in sectors such as government, healthcare, and financial services. Jyoti Lalchandani, Regional Managing Director, META, Central Asia & India, IDC shared her perspective on the technology trends set to define the Middle Easts digital transformation.

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Government Generative AI Healthcare Energy 78

TechCrunch

NOVEMBER 8, 2022

And the global cybersecurity market is projected to be worth over $500 billion by 2030. “By leveraging modern techniques like machine learning, focusing on automation, we aim to provide a way for modern teams to maximize security posture while minimizing issues that impact business uptime,” he said. billion in 2020.

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TechCrunch

MAY 13, 2021

based startup Sylvera is using satellite, radar and lidar data-fuelled machine learning to bolster transparency around carbon offsetting projects in a bid to boost accountability and credibility — applying independent ratings to carbon offsetting projects.

Machine Learning 160

Machine Learning Artificial Inteligence .Net Sustainability 160

Altexsoft

FEBRUARY 5, 2019

A lot of this advanced growth is due to the versatile capabilities of machine learning or deep learning, a development that allows AI to adapt to new challenges by reconfiguring itself based on new data. This is just one of the many game-changing capabilities of machine learning when it’s applied to business.

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CIO

AUGUST 29, 2024

Este consiste en la implementación de tecnología Microsoft para la construcción de 27 modelos basados en IA , concretamente a partir de machine learning. Uno de los proyectos que ya demuestra una clara contribución a la división hotelera del grupo es su proyecto de predicción de demanda hotelera.

Hotels 174

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TechCrunch

MAY 3, 2023

Image Credits: Pando Pando also taps algorithms and forms of machine learning to make predictions around supply chain events. . “Pando’s no-code capabilities enable business users to customize the apps while maintaining platform integrity — reducing the need for IT resources for each customization.”

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Transportation Survey Retail Enterprise 252

CIO

SEPTEMBER 11, 2024

Fusion Data Intelligence — which can be viewed as an updated avatar of Fusion Analytics Warehouse — combines enterprise data, ready-to-use analytics along with prebuilt AI and machine learning models to deliver business intelligence.

Sustainability 174

Sustainability Cloud .Net Enterprise 174

CIO

SEPTEMBER 9, 2022

trillion by 2030, and by singularly responsible for a 26 per cent boost in the GDP of local economies. It’s difficult to visualise the true scale of AI, as it’s almost certainly more than you imagine – it’s going to contribute more to the global economy than the current GDP of India and China combined.

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TechCrunch

MARCH 22, 2022

Eko has been working toward developing machine learning-based analysis capability. It’s not exactly a “machine learning brain” yet. and is expected to reach 8 million by 2030. But so far, the company has focused on devices and clinical tools. What does the new software mean for doctors?

Machine Learning 188

Machine Learning Artificial Inteligence Healthcare Analysis 188

TechCrunch

NOVEMBER 29, 2022

“Training models on real-world data is a cornerstone of our product’s quality; it’s what allows machine learning systems like ours to produce human-like results. billion by 2030, according to one (optimistic?) That said, we allow our users to opt out of having their anonymized data used for training if they so choose.”

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CIO

DECEMBER 6, 2023

2, machine learning/AI (31%), the packaging company has three use cases in proof of concept. By 2030, the company also aims to send zero waste to the landfill, to decarbonize its operations and value chain, and to limit its global temperature increases to 1.5 As for No. degrees in accordance with the Paris Agreement.

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TechCrunch

MAY 9, 2022

The big data and business analytics market could be worth $684 billion by 2030, according to Valuates Reports, if such outrageously high estimates are to be believed. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy.

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Analytics Business Intelligence Software Review Business Analytics 215

CIO

FEBRUARY 13, 2023

Now Dimension Data is in the midst of an aggressive effort to achieve net-zero emissions across all of its operations by 2030. We also took the opportunity learn what prompted Dimension Data to join the VMware Zero Carbon Committed Initiative, and what comes next. “A Our approach, guided by the U.N.’s

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Sustainability Data .Net Energy 142

Openxcell

APRIL 7, 2023

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

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Artificial Inteligence Machine Learning Tools Open Source 52

CIO

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data science is a fast growing field, with the BLS predicting job growth of 22% from 2020 to 2030.

Analytics 205

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CIO

OCTOBER 2, 2024

billion by 2030. Actionable analytics Does the platform combine human intelligence with AI and machine learning? Can AI and machine learning innovations rapidly adapt to the system— so each use case determines the ultimate decision?

Analytics 172

Analytics Development Team Review Technical Review Data 172

TechCrunch

APRIL 22, 2021

The company forecasts foodstuff demand through machine learning and helps buyers procure goods from smallholder farmers. Small Foundation wants to improve this number in its own little way, and concurrently has a plan to “end extreme poverty in sub-Saharan Africa by 2030.”

Fintech 192

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TechCrunch

SEPTEMBER 28, 2022

Founded out of Dublin in 2016, VRAI has built a simulation platform that meshes VR with data capture, analysis, and machine learning (ML) to give customers measurable insights and improve training outcomes. GW of offshore wind capacity last year, a figure it says is set to grow 25 times by 2030. ” Training day.

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CTOvision

JUNE 9, 2014

Look at what they are doing with predictive search, Google now, contextual search, speech recognition, ad targeting – it’s all machine learning against big data. We can now envision entirely new ways of conceiving health insurance– if you take big data/machine learning approach.

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Artificial Inteligence Government Machine Learning Technology 101

CIO

AUGUST 8, 2024

To illustrate, Farys expects a 20% cost reduction potential due to increased efficiency in administration and business operations as a result of integration between all components, one source of truth, and extensive analytics, with the ability to unlock artificial intelligence (AI) and machine learning (ML). More than 2.7

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CIO

OCTOBER 2, 2024

Advanced analytics platforms, leveraging machine learning (ML) algorithms and AI, extract meaningful insights from this data. In Asia, Singapore aims to green 80% of its buildings by 2030 as part of its sustainability initiative. Its robust public safety infrastructure includes over 100,000 CCTV cameras.

IoT 185

IoT Real Estate Artificial Inteligence Sustainability 185

Xebia

APRIL 2, 2024

With bold initiatives like Vision 2030 driving economic diversification and technological advancement, the Kingdom has emerged as a beacon of opportunity for businesses worldwide. From Cloud and Data to AI and Machine Learning, we are at the forefront of shaping the digital landscape of the hottest market right now!

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CIO

DECEMBER 12, 2023

JLR’s move to electric drive trains is part of a wider business transformation the company calls Reimagine, under which it also plans to halve greenhouse gas emissions from its supply chain and operations, compared to 2019 levels, by 2030, and to reach net zero carbon emissions by 2039.

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CIO

AUGUST 28, 2022

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. trillion by 2030. One example is Banking-as-a-Service, with the market expected to reach US$3.6 Refining the balancing act of innovation and risk.

Banking 148

Banking Innovation Strategy Artificial Inteligence 148

CIO

SEPTEMBER 2, 2022

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. trillion by 2030. One example is Banking-as-a-Service, with the market expected to reach US$3.6 Refining the balancing act of innovation and risk.

Banking 148

Banking Innovation Strategy Artificial Inteligence 148

TechCrunch

MARCH 21, 2022

million sq km over six countries and is the world’s largest tropical carbon sink — by applying machine learning to parse satellite imagery in order to be able identify illegal logging activity in real time. so they’re armed with actionable intelligence to combat deforestation and biodiversity loss.

Data 200

Data Energy Nonprofit Programming 200

CIO

AUGUST 4, 2023

A study from Zippia found that automation has the potential to eliminate 73 million jobs by 2030, with 35% of Americans worried about automation displacing them and 25% of American jobs “highly susceptible” to automation.

Engineering 147

Engineering Artificial Inteligence Quality Assurance Hardware 147