#python argentina

[arthur-two-sheds-jackson]

Oh... hi, Debbie!

[candelabianchi]

BASICS

NAME: Candela Bianchi

NICKNAME: Cande

GENDER, PRONOUNS AND SEXUALITY: Cisfemale. She/Her. Bisexual

AGE / DOB: Thirty Two. 08/05/1992

HOMETOWN: Manhattan, NY

JOB POSITION: Socialite & Political Heiress

EDUCATION: Bachelor in Political Science & Philosophy, Columbia University

RELATIONSHIP STATUS: Single

POSITIVE TRAITS: Magnetic, Strategic, Perceptive, Resourceful, Unflinching, Ambitious

NEGATIVE TRAITS: Superficial, Manipulative, Elusive, Capricious, Sadistic, Cruel, Competitive

LANGUAGES: Spanish, Italian, English, French, German, Russian, Portuguese, Latin, Arabic

HEIGHT: 5’4

HAIR COLOR: Platinum Blonde

EYE COLOR: Blue

ABOUT

Born into a dynasty. The only child of the current NYC’s governor — Her father emigrated from Argentina to the U.S. in his teens, early on, he worked menial jobs, but he was ambitious and brilliant at maneuvering through systems. He became a citizen fast, marrying into a powerful family to accelerate the process and using political connections. He kept a low profile for years, building a reputation through law, activism, and local government. He played the “American Dream” perfectly; the story of a determined immigrant who loves his new country and wants to “clean up the city that gave him everything.”

Candela was raised among polished mahogany tables, security escorts, and press-ready smiles. Her life was curated from day one: ballet at Lincoln Center, Spence prep school, summers in the Hamptons, acceptance into Columbia “on merit,” and red carpet appearances by eighteen. But no amount of private school or luxury could mask what boiled underneath.

By her twenties, Candela had built a reputation as a headline-making wild child: clubbing until dawn, dating infamous heirs and washed-up rockstars, and landing on gossip blogs more often than her father’s political opponents. But behind the public meltdowns and champagne tantrums was a woman watching — listening — and slowly piecing together the rotted architecture of the world she was born into.

That turning point came a year ago when Candela uncovered the truth about her father’s ( former mayor ) political deals: covert partnerships with private militias, evidence suppression, and quietly sanctioned violence. She didn’t spiral. She adapted. She studied power in classrooms full of men who thought they owned it. Then she learned how to actually use it.

Enter Heath Morgan — A brief flame, but intense enough to burn her to ashes. They only dated for a month, the secret kind. It was fun…until they got someone killed. Correction, she killed somebody. Self-defense, as she tried to convince herself. Either way, they got rid of the body and the evidences, cutting off all contact after that. Or so she thought. Candela should have known better; she hadn't actually witnessed Heath getting rid of the Glock with her fingerprints on it.

Being blackmailed by him wasn’t on her bingo card. In past occasions she was the one doing the blackmailing, but she learned how to play along. She uses her family name and position to open doors, giving Heath intel on investigations, shady deals, upcoming moves from law enforcement.

She recently started to work as a Political Strategist. Working on the edges of government, she influences policy and political moves under the table. Has been accused in anonymous leaks of manufacturing scandals against her father’s political opponents — never proven.

Candela currently resides on the Upper East Side. She has two Scottish Fold cats and a White-Lipped Python snake and deeply loves her pets.

[prapasara]

 เพลงสากลที่นิยมเปิดในพิธีศพ

The Best Funeral Songs and Memorial Songs

Traditional Funeral Songs and Funeral Music

1) Amazing Grace – Traditional

2) Wind Beneath My Wings – Bette Midler

3) His Eye is on the Sparrow – Mahalia Jackson

4) My Heart Will Go On – Celine Dion

5) Precious Lord, Take My Hand – Mahalia Jackson

6) You Raise Me Up – Josh Groban

7) I’ll Fly Away – Albert E. Brumley

8) The Rose – Bette Midler

9) As – Stevie Wonder

10) Angels – Robbie Williams

11) Going Up Yonder – Walter Hawkins

12) Unchained Melody – The Righteous Brothers

13) Oh Happy Day – Edwin Hawkins Singers

14) Candle in the Wind – Elton John

15) Total Praise – Richard Smallwood

16) Time to Say Goodbye – Andrea Bocelli and Sarah Brightman

17) Swing Low, Sweet Chariot – Traditional

18) Bridge Over Troubled Water – Simon & Garfunkel

19) Lean on Me – Bill Withers

20) Tears in Heaven – Eric Clapton

21) Ain’t No Mountain High Enough – Marvin Gaye and Tammi Terrell

22) Ave Maria – Franz Schubert

23) You Are Not Alone – Michael Jackson

24) Hallelujah – Jeff Buckley

25) I’ll Be There – The Jackson 5

26) I Will Always Love You – Whitney Houston

27) Victory is Mine – Dorothy Norwood

28) Always Look on the Bright Side of Life – Monty Python

29) Soon and Very Soon – Andraé Crouch

30) Danny Boy – Traditional

 

31) Order My Steps – GMWA Women of Worship

32) The Prayer – Celine Dion and Andrea Bocelli

33) Take Me to the King – Tamela Mann

34) When I Survey the Wondrous Cross – Traditional

35) I Need You to Survive – Hezekiah Walker and The Love Fellowship Choir

36) In the Arms of an Angel – Sarah McLachlan

37) We Fall Down – Donnie McClurkin

38) What a Wonderful World – Louis Armstrong

39) Stand – Donnie McClurkin

40) Here Comes the Sun – The Beatles

41) We Shall Overcome – Traditional

42) I’ll Be Missing You – Puff Daddy and Faith Evans

43) Lift Every Voice and Sing – James Weldon Johnson

44) Nearer My God to Thee – Traditional

45) I Am Not Forgotten – Israel Houghton

46) How Great Thou Art – Traditional

47) You’ll Never Walk Alone – Mahalia Jackson

48) The Sound of Silence – Simon & Garfunkel

49) He Has His Hands On You – Marvin Sapp

50) Auld Lang Syne – Traditional

51) Bridge Over Troubled Water – Aretha Franklin

52) Over the Rainbow – Israel Kamakawiwo’ole

53) Morning Has Broken – Cat Stevens

54) A Time for Us – Nino Rota

55) Let It Be – The Beatles

56) Broken Halos – Chris Stapleton

57) Never Would Have Made It – Marvin Sapp

58) Don’t Cry for Me Argentina – Julie Covington

59) Stairway to Heaven – Led Zeppelin

60) Old Rugged Cross – Traditional

61) Hold On – Yolanda Adams

62) The Way We Were – Barbra Streisand

63) You’ll Never Walk Alone – Gerry & The Pacemakers

64) His Strength is Perfect – Cece Winans

65) He Ain’t Heavy, He’s My Brother – The Hollies

66) We’ll Meet Again – Vera Lynn

67) Keep On Movin’ – Soul II Soul

68) Love Me Tender – Elvis Presley

69) Oh How He Loves You and Me – Edwin Hawkins Singers

70) God Bless America – Irving Berlin

71) Memory – Barbra Streisand

72) Be Grateful – Walter Hawkins

73) Angels Among Us – Alabama

74) Amazing Grace – Aretha Franklin

75) My Way – Frank Sinatra

76) Stand By Me – Ben E. King

77) Hold On – Mighty Clouds of Joy

78) I Smile – Kirk Franklin

79) Can’t Help Falling in Love – Elvis Presley

80) The Dance – Garth Brooks

81) You Are My Friend – Patti LaBelle

82) When the Saints Go Marching In – Traditional

83) On Eagle’s Wings – Michael Joncas

84) Angel – Sarah McLachlan

85) Bittersweet Symphony – The Verve

86) Ave Maria – Andrea Bocelli

87) The Lord is My Shepherd – Traditional

88) The Long and Winding Road – The Beatles

89) There You’ll Be – Faith Hill

90) Into the West – Annie Lennox

91) Knockin’ on Heaven’s Door – Bob Dylan

92) I Will Remember You – Sarah McLachlan

93) You Are the Wind Beneath My Wings – Bette Midler

94) I’m Already There – Lonestar

95) When You Believe – Whitney Houston and Mariah Carey

96) Fields of Gold – Sting

97) He Stopped Loving Her Today – George Jones

98) If I Die Young – The Band Perry

99) Lullabye (Goodnight, My Angel) – Billy Joel

100) Always On My Mind – Ane Brun

101) Dancing in the Sky – Beverly Ann

102) Home – Aron Wright

103) Living Legend – Club Danger

104) Be Still – The Fray

105) I Shall Believe – Sheryl Crow

106) To Build a Home – The Cinematic Orchestra, Patrick Watson

107) Supermarket Flowers – Ed Sheeran

108) Future Days (Acoustic) – Eddie Vedder

109) Heart – Rainbow Kitten Surprise

110) See You Again – Wiz Khalifa, Charlie Puth

111) See You Again – Beth

112) These Are Days – 10,000 Maniacs

113) Wonderwall – Zella Day

114) Lay Me Down – Sam Smith

115) I Will Always Return – Bryan Adams

116) The Story – Brandi Carlile

117) Send Me On My Way – Rusted Root

118) When We Were Young – Adele

119) Amazing Grace (Chains Are Gone) – Pentatonix

120) Do You Remember – Jack Johnson

121) In Christ Alone – Christina Grimmie

122) When I Get Where I’m Going – Brad Paisley, Dolly Parton

123) I Will Follow You Into the Dark – Death Cab for Cutie

125) Proof of Your Love – King & Country

126) Home – Edith Whiskers

127) My Best Friend – Tim McGraw

128) Work Song – Hozier

129) Biscuits – Kacey Musgraves

130) Home – Edward Sharpe & The Magnetic Zeros

131) Waves – Imagine Dragons

132) I Lived – OneRepublic

133) 7 Years Old – Lukas Graham

134) Excavate – Macklemore, Saint Claire

135) Gonna Fly Now – Bill Conti 

136) Solsbury Hill – Peter Gabriel

137) Unforgettable – Nat King Cole

138) Yet – Nathan Morris

Christine Rose Photography / Moment via Getty Images

50 Songs to Play at a Funeral

Rock

1.    Tears In Heaven – Eric Clapton

2.    Wish You Were Here – Pink Floyd

3.    Babe I’m Gonna Leave You – Led Zeppelin

4.    Scream – Chris Cornell

5.    My City of Ruins – Bruce Springsteen

6.    November Rain – Guns N’ Roses

7.    Hallelujah – Bon Jovi

8.    Stairway To Heaven – Led Zeppelin

9.    I’ll Back You Up – Dave Matthews Band

10.  Man of the Hour – Pearl Jam

Alternative Rock

1.    Surround You – Echosmith

2.    The Trapeze Swinger – Iron & Wine

3.    Heartbeats – Jose Gonzalez

4.    Blood – The Middle East

5.    The Funeral – Band of Horses

6.    Awake My Soul – Mumford & Sons

7.    While We Were Dreaming – Pink Mountaintops

8.    Higher Love – James Vincent McMorrow

9.    The Night We Met – Lord Huron

10.  Twenty Years – Augustana

Pop

1.    Supermarket Flowers – Ed Sheeran

2.    Breathe Me – Sia

3.    Fix You – Coldplay

4.    See You Again –Charlie Puth

5.    Somewhere Over The Rainbow -  Israel Kamakawiwo’ole (and other artists)

6.    I’ll Be Missing You – P. Diddy & Faith Evans

7.    Angel – Sarah McLachlan

8.    Angles – Robbie Williams

9.    Chasing Cars – Snow Patrol

10.  Gone, Gone, Gone – Phillip Phillips

Classics

1.    Take Me Home – John Denver

2.    Yesterday – The Beatles

3.    My Way – Frank Sinatra

4.    You’ll Never Walk Alone – Gerry & The Pacemakers

5.    Turn Turn Turn – The Byrds

6.    Always On My Mind – Elvis

7.    Amazing Grace – Celtic Women

8.    In My Life – The Beatles

9.    Imagine – John Lennon

10.  Heaven Can Wait – Meatloaf

Country

1.    If I Die Young – The Band Perry

2.    Go Rest High On That Mountain – Vince Gill

3.    Angels Among Us – Alabama

4.    If Heaven Wasn’t So Far Away – Justin Moore

5.    I Drive Your Truck – Lee Brice

6.    Drink a Beer – Luke Bryan

7.    Who You’d Be Today – Kenny Chesney

8.    One Hell of an Amen – Brantley Gilbert

9.    If You’re Reading This – Tim McGraw

10.  See You Again – Carrie Underwood

nikkytok / iStock via Getty Images

Funeral music  ,  Funeral   ,   Popular music for funerals   ,  Traditional Funeral Songs and Funeral Music  ,   Funeral Music   ,    Popular Songs for Funerals  ,   Funeral Services

CR   ::   https://gather.app/blog/funeral-songs-list/  ,  https://www.funeralmatters.com/blog/Article/25/50-Songs-to-Play-at-a-Funeral

[renatoferreiradasilva]

VENDIDO?!

Estratégia de Parcerias com Fintechs para a NeoSphere A integração com fintechs bancárias é crítica para viabilizar pagamentos locais, cross-border e aumentar a confiança do usuário. Abaixo, um plano detalhado:

1. Objetivos das Parcerias

Facilitar pagamentos locais (PIX no Brasil, SPEI no México, ACH nos EUA).

Permitir conversão automática fiat-cripto para transações internacionais.

Reduzir custos operacionais com taxas competitivas.

Oferecer soluções de crédito para criadores (ex: adiantamento de recebíveis de assinaturas).

2. Fintechs Estratégicas por Região

Brasil

Nubank: Parceria para integração direta com PIX, cartões virtuais e soluções de crédito para criadores.

PicPay: Pagamentos instantâneos e cashback em compras na plataforma.

C6 Bank: Integração com soluções de cripto (C6 Digital) e cross-border.

EUA

Stripe: Gateway unificado para ACH, cartões e stablecoins (USDC).

Plaid: Conectar contas bancárias para saques rápidos em dólar.

Circle: Conversão automática USD ↔ USDC com liquidez global.

América Latina (México, Argentina, Colômbia)

Mercado Pago (México/Argentina): Pagamentos via SPEI, Mercado Crédito para criadores.

dLocal (Uruguai): Gateway de pagamentos locais em 20+ países da LATAM.

Ripio (Argentina): Integração com criptomoedas e wallets não custodiais.

Parceiros Globais

Revolut: Contas multicurrency para criadores internacionais.

Wise: Transações cross-border com taxas baixas.

3. Benefícios para a NeoSphere

Localização Financeira:

Usuários pagam como preferem: PIX, boleto, OXXO (México), etc.

Saques em moeda local sem conversão manual.

Cross-Border Simplificado:

Um criador brasileiro recebe de um fã nos EUA via ACH → conversão automática para BRL ou USDC.

Soluções de Crédito:

Antecipação de receita baseada em histórico de assinaturas/vendas (ex: Nubank oferece crédito com taxa 1% ao mês).

Redução de Fraude:

Fintechs compartilham sistemas de antifraude (ex: Stripe Radar).

4. Modelos de Parceria

Revenue Sharing:

NeoSphere recebe % sobre transações processadas pelas fintechs (ex: 0,5% por PIX via Nubank).

White-Label:

Fintechs fornecem soluções embutidas na interface da NeoSphere (ex: PicPay como opção de checkout).

Cross-Promotion:

Nubank oferece cashback para usuários que assinarem criadores na NeoSphere.

Crédito Colaborativo:

Fintechs analisam dados de receita dos criadores na plataforma para oferecer empréstimos sob medida.

5. Integração Técnica

Camada de Pagamentos Unificada

API Gateway: Desenvolver uma camada intermediária que traduz solicitações da NeoSphere para APIs das fintechs.

Exemplo: python # Exemplo de integração com PIX (Brasil) e ACH (EUA) def process_payment(amount, currency, user_region): if user_region == "BR": response = nubank_api.pix_payment(amount, user_wallet) elif user_region == "US": response = stripe_api.ach_transfer(amount, user_bank_account) return response

Smart Contracts para Cross-Border:

Utilizar stablecoins (USDC, BRZ) como ponte para conversões internacionais via Circle e FlowBTC.

Exemplo: Um usuário mexicano compra um NFT em pesos → o valor é convertido para USDC → o criador recebe em BRL via PIX.

Segurança e Compliance

KYC/AML:

Integrar soluções das fintechs (ex: Stripe Identity, Nubank KYC) para verificação de usuários.

Tokenização de Dados:

Dados bancários sensíveis são armazenados tokenizados (ex: usando Vault da HashiCorp ou soluções das próprias fintechs).

6. Monetização para Fintechs

Taxas de Transação: Cobrança competitiva (ex: 0,7% para PIX vs. 2,9% para cartões).

Dados Anônimos para Crédito:

Fintechs acessam métricas agregadas (ex: ticket médio de criadores) para oferecer empréstimos.

Exclusividade Regional:

Parceria com uma fintech por país/região (ex: dLocal na América Latina fora do Brasil).

7. Riscos e Mitigação

RiscoMitigação Dependência de APIs externas Contratos com SLAs rígidos + ter providers secundários (ex: Stripe e Adyen). Regulação cambiária Trabalhar com stablecoins reguladas (USDC, BRZ) e fintechs especializadas. Concorrência entre fintechs Definir regiões/países exclusivos para cada parceiro.

8. Roadmap de Parcerias

FaseAções 3 meses Integrar PIX (Nubank) e ACH (Stripe) + USDC (Circle). 6 meses Parceria com dLocal para expansão na América Latina (México, Argentina). 12 meses Lançamento de soluções de crédito com Nubank e Mercado Crédito.

9. KPIs de Sucesso

Taxa de Conversão de Pagamentos: > 95% (vs. ~85% em marketplaces tradicionais).

Tempo Médio de Saque: < 24 horas para fiat, < 10 minutos para cripto.

Cobertura Geográfica: Suporte a 10+ métodos de pagamento em 15 países no primeiro ano.

10. Exemplo de Caso de Uso

Cenário: Um artista brasileiro vende um NFT para um colecionador nos EUA por US$100.

Colecionador paga via ACH (Stripe) → valor é convertido para USDC.

Artista recebe US$95 (após taxa de 5%) diretamente em sua conta Nubank via PIX (R$475 em tempo real).

Royalties de 10% são enviados automaticamente para um colaborador na Argentina via Mercado Pago (ARS).

Conclusão: Parcerias com fintechs permitirão à NeoSphere operar como um hub financeiro global para criadores, combinando a flexibilidade de pagamentos locais com a eficiência das criptomoedas. A prioridade deve ser garantir uma integração tão suave que os usuários nem percebam a complexidade por trás das transações.

[aimarketresearch]

Software Development Artificial Intelligence Market Size, Share, Trends, Key Drivers, Demand and Opportunities

Global Software Development Artificial Intelligence (AI) Market  - Size, Share, Demand, Industry Trends and Opportunities

Global Software Development Artificial Intelligence (AI) Market, By Programming Language (Python, R, Lisp, Prolog, Java, Others), Development Phases (Planning, Knowledge Acquisition and Analysis, System Evaluation), Approaches (Natural Language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining, Others), Application (Expert System, Project Management, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) - Industry Trends

Access Full 350 Pages PDF Report @

**Segments**

- **Component**: The software development AI market can be segmented based on component into software tools and platforms. Software tools are essential for developers to streamline their coding process and improve productivity. AI-powered platforms offer a more comprehensive solution by integrating various tools for different stages of software development.

- **Deployment Mode**: This segment includes on-premises and cloud-based deployment models. On-premises deployment provides more control and security but requires higher upfront costs and maintenance. Cloud-based deployment offers scalability and flexibility, making it a popular choice for many organizations looking to leverage AI in software development.

- **End-User**: The end-user segment categorizes the market based on who utilizes software development AI solutions. This includes large enterprises, small and medium-sized enterprises (SMEs), and individual developers. Each category has unique requirements and preferences when it comes to adopting AI technologies for software development.

**Market Players**

- **Microsoft Corporation**: A key player in the software development AI market, Microsoft offers various AI tools and platforms like Azure Machine Learning and Visual Studio IntelliCode. These solutions cater to developers looking to incorporate AI capabilities into their software development process.

- **Google LLC**: Google is at the forefront of AI technology with products like TensorFlow and Cloud AI platform. Their AI-driven tools help developers build intelligent applications and streamline software development tasks.

- **IBM Corporation**: IBM provides AI solutions through its Watson platform, aimed at enhancing software development processes with cognitive capabilities. Their offerings include natural language processing tools and predictive analytics for developers.

- **Amazon Web Services, Inc. (AWS)**: As a leading cloud service provider, AWS offers AI services such as Amazon SageMaker for building, training, and deploying machine learning models. These tools empower developers to leverage AI for software development in a scalable and cost-effective manner.

- **Intel Corporation**: Intel focuses on AI hardware and software solutions, including AI accelerators and optimized frameworks for developers. By offering AI-specific technologies, Intel contributes to advancing the capabilities of AI-drivenThe software development AI market is a rapidly evolving landscape with various segments catering to different needs and preferences of developers and organizations. One of the key segments in this market is based on components, which can be categorized into software tools and platforms. Software tools play a crucial role in enhancing developers' efficiency by streamlining coding processes and improving productivity. On the other hand, AI-powered platforms offer a more comprehensive solution by integrating a variety of tools tailored for different stages of software development. This segmentation allows developers to choose the right components that align with their specific requirements and workflow.

Another significant segment in the software development AI market is based on deployment modes, which include on-premises and cloud-based models. On-premises deployment provides organizations with more control and security over their data but requires higher upfront costs and maintenance. In contrast, cloud-based deployment offers scalability and flexibility, making it an attractive option for organizations looking to leverage AI capabilities without the burden of infrastructure management. This segment provides developers and organizations with the flexibility to choose the deployment mode that best suits their needs and constraints.

The end-user segment further categorizes the software development AI market based on the entities that utilize AI solutions for software development. This segment includes large enterprises, small and medium-sized enterprises (SMEs), and individual developers, each with unique requirements and preferences when it comes to adopting AI technologies. Large enterprises often seek AI solutions to drive innovation and gain a competitive edge, while SMEs look for cost-effective solutions that can enhance their development processes. Individual developers, on the other hand, may prioritize tools that improve their coding efficiency and help them stay competitive in the market. Understanding the distinct needs of these end-user groups is crucial for market players to develop tailored AI solutions that address specific pain points and drive adoption.

In terms of market players, companies like Microsoft Corporation, Google LLC, IBM Corporation, Amazon Web Services, Inc. (AWS), and Intel Corporation are key players shaping the software development AI market. Microsoft offers a range of AI tools**Global Software Development Artificial Intelligence (AI) Market, By Programming Language (Python, R, Lisp, Prolog, Java, Others), Development Phases (Planning, Knowledge Acquisition and Analysis, System Evaluation), Approaches (Natural Language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining, Others), Application (Expert System, Project Management, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) - Industry Trends and Forecast to 2029

The software development AI market is witnessing significant growth and evolution driven by advancements in programming languages, development phases, approaches, and applications. Python, R, Lisp, Prolog, and Java are prominent programming languages utilized in AI development, each offering specific advantages and functionalities. The different development phases, including planning, knowledge acquisition and analysis, and system evaluation, play a crucial role in the software development AI process, enabling developers to create intelligent and efficient solutions. Various approaches such as natural language processing techniques, neural networks, fuzzy logic, and data mining enhance the capabilities

Core Objective of Software Development Artificial Intelligence (AI) Market:

Every firm in the Software Development Artificial Intelligence (AI) Market has objectives but this market research report focus on the crucial objectives, so you can analysis about competition, future market, new products, and informative data that can raise your sales volume exponentially.

Size of the Software Development Artificial Intelligence (AI) Market and growth rate factors.

Important changes in the future Software Development Artificial Intelligence (AI) Market.

Top worldwide competitors of the Market.

Scope and product outlook of Software Development Artificial Intelligence (AI) Market.

Developing regions with potential growth in the future.

Tough Challenges and risk faced in Market.

Global Software Development Artificial Intelligence (AI) top manufacturers profile and sales statistics.

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Detailed considerate of Software Development Artificial Intelligence (AI) Market-particular drivers, Trends, constraints, Restraints, Opportunities and major micro markets.

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[panglossesanddiadorims]

A agonia insuportavel de ouvir o Lado B

“No rational argument will have a rational effect on someone who does not want to adopt a rational attitude.” ― Karl Popper

Na saudosa época dos discos de vinil (saudosa pois achava tudo mais simples e feliz), geralmente as melhores músicas ficavam no Lado A e, digamos, as menos atrativas ou conhecidas, no Lado B. Pode haver muitas exceções, como por exemplo um disco dos The Beatles, Pink Floyd, Genesis, The Who, Rush, Eric Clepton, Steve Winwood, Tina Turner, Titas, Cat Stevens, Milton Nascimento (antes da fase Tracy Chapman), Elton John e  Nina Simone. Porém, na maioria das vezes, a regra se aplicava de que o Lado B do LP era geralmente bem menos interessante.

Havia até a expressao de que tudo na vida era como um LP, tinha um lado bom e um lado ruim. Mas digo que também depende do LP, pois no caso de qualquer um do Oswaldo Montenegro ou do Engenheiros do Hawaii, ambos os lados são uma bosta. 

Faco um analogia dos lados do LP com o excremento da política atual e as suas ideologias de ambos os espectros da direita e da esquerda. Ideologias essas náo somente extremistas, mas principalmente maniqueistas, falaciosas, e sectárias, cujo respaldo provém de uma horda de fanáticos histéricos, obtusos e histriônics que idolatram cegamente idiotas motivados e suas idéias delirantes, ególatras e mitômanas.

Semi-idiotas (precisam ainda edtudar muito pra conseguirem ser idiotas completos) que engolem qualquer boçalidade em slogans concebidos somente para consumo imediato, sem que haja  questionamento ou tentstiva de analisá-los dentro de uma ótica lógica e embasada em fatos históricos e dados empíricos.

Pouca ou nenhuma diferenca de mentalidade intolerante e sádica das multidões que se reuniam (ou reúnem) pra ver enforcamentos, apedrejamento de mulheres e homosexuais e queimas de “hereges” nos Atos de Fé (Charles Dickens escreveu do horror que testemunhou da perversidade e leviandade alma humana que se revelavam durante as execuções públicas), que zombavam dos judeus esfregando as ruas da Alemanha Hitlerista, que torturavam e espancavam professores e intelectuais durante a Revolução Cultural Chinesa, ou que queimavam livros ou vandalizavam terreiros religiosos.

 O atual e genial Monty Python descreveu de forma hilária esse comportamento cretino e patético do pensamento coletivo em dois filmes antológicos, A Vida de Brian e o Em Busca do Santo Graal. No primeiro com a cena do apedrejamento e no segundo a queima da bruxa, Em ambos o argumento racional e desprezado e a histeria coletiva e intolerância prevalecem. Como hoje, seguindo algorimos de natureza duvidisa, ninguém quer discutir as ideias, somente destruir o outro assassinando seu carater com anátemas e apelidos de quinta série.

Mentalidade essa que existe em ambos os lados do LP da politica moderna. Não a monopolia, mas a maioria das cretinices sectárias era da esquerda radical.

Era insuportável escutar o Lado B de mentes ridiculas que se professavam progressistas e democraticas, diziam ter o monopolio da etica, honestidade e a chave para todos os males. Seu sectarismo destruia qualquer outra proposta progressista, escolhendo como inimigos mortais a esquerda social-democrata, comportamento identico aos comunistas alemaes fizeram na Republica de Weimar, e ignorando o verdadeiro ogro que habitava ao lado. Bom, os comunistas alemaes de decada de 20 e 30 eram stalinistas ate a raiz, nao muito diferente de parte da esquerda brasileira. Sua contradicao denunciava homicidas e facinoras como Pinochet, da Junta Militar Argentina, Somozas e Fulgencio Batistas, mas defendiam veementemente ditaduras cubanas e sandinistas com o risivel argumento de causas sociais e proletarias.

Avancemos varios anos e nos deparamos com o outro Lado B, o da direita reacionaria, moralista e fundamentalista. Tao patetica, chata, bocal e sectaria quanto o seu antagonista, mas bem mais eficaz na capacidade destrutiva e irracional.

Assim como uma esquerda que achava que ser esquerda era berrar ideias sectarias e defender ditaduras, a direita atual pensa que ser conservador significa abracar causas moralistas e da familia tradicional judaico-crista, atacar qualquer ideia de igualdade, respaldar cretinices de mentecaptos de pau pequeno como Red Pill, apaludir coaches e discursos corporativos,abracar causas medievais, teorias conspiratorias e de pseudo-ciencia, tambem defender ditaduras e atos institucionais e usar de forma sofista o argumento da liberdade de expressao para vomitar odio e intolerancia.

Sao mais iletrados, nao pesquisam ou leem nada de bom, somente Monarks, Musks, pablo Marcal, Bolsonaro e Tucker Carlsons,  e acreditam em qualquer idiota que diz palavras de efeito de facil entendimento. E se orgulham  enquanto defecam em mesas, berram versiculos adaptados para destruir o proximo. E como detestam e tem medo de tudo que venha de mulheres, gays, negros etc. Toda mulher nao passa de uma histerica e com falta de sexo ( deve ter sido o mesmo com as progenitoras).

Num pais em que foi preciso que centenas de mulheres denunciassem um charalatao chamado Joao de Deus, filmassem um anestesista que estuprava mulheres enquanto eram operadas e culpam as mulheres pelas agressoes, estupros e mortes diarias (nao ha um so dia em que nao ha uma noticia de um ex que matou de forma violenta e covarde a ex-companheira por nao aceitar o fim do relacionamento) , achar quer ser de direita e ter essa mentalidade medieval e escrota.

Outra coisa: ja viram que toda vez que um " conservador" xingar uma pessoa de macaco, negro imundo, volta pra Africa, favelado, nordestino morto de fome,vagabunda mal-amada, histerica e interesseira, etc, sempre alegam que estao sob medicamento? Engracado que quando o surto pega, eles nao gritam pruma loira pra voltar pra Alemanha, um coach pra ir trabalhar ou parasitas pros filhos do pessoal da Faria Lima.

Esse Lado B age de forma tao fascista como o lado B anterior. Tao sectário, destrutivo, arrogante e presunçoso. tao dono de agendas salvadoras e impositivas. e tao catatonoico, hipocrita e infantiloide em sua bolha confortavel e ilusória. A direita brasileira acha que ser de direita é apoiar privatizar praias , apoiar golpes, ser anti-vacina e agir como uma elite escravocrata.

Pois fascismo nao é algo somente do pensamento da extrema-direita. O fascismo se baseia em destruir o mensageiro ao desumanizá-lo em seu caráter e matando sua identidade, impondo pechas numa virulência odiosa. Ao invés de debater as idéias e argumentos, ridiculariza a pessoa, como os Nazistas taxavam alguém de judeu, ou a Guarda Vermelha de anti-imperialista,qualquer pessoa com idéias dissidentes e fora da agenda coletiva.

Nenhuma diferença de hoje. E como antigamente, existem muitos seguidores porque as pessoas se orgulham de ser apedeutas.

Os dois lados B são mestres nessa arte. Dois lados B da mesma moeda, ou melhor, do mesmo LP de cretinice mental e de alma. Dois espectros do Lado B que se equiparam em seu sectarismo, histeria coletiva, dissônancia cognitiva e hipocrisia.

Se um lado cancela artistas e bane livros tendo como base uma agenda woke sectária e risível, o outro lado cancela professores, educadores e jornalistas e bane livros em cima de uma agenda moralista judaico-cristã e anti-marxista, sendo marxista qualquer um que pense diferentemente deles.

Paulo Freire, por exemplo, e sua Pedagogia do Oprimido jamais foi utilizada para doutrinar crianças, pois e baseada na alfabetização de adultos baseado na experiência de vida deles, algo que crianças nao possuem. Mas a doutrinação em escolas cívico- militares ou a catequização de pastores e padres, tudo bem.

Se umas faixas do Lado B idolatram Castros, Ortegas e Stalins, sociopatas assassinos e corruptos, com o sofisma de que derrubaram ditaduras e impérios que exploravam a população ( o que é verdade), outras faixas idolatram Pinochets, Medicis, Videlas e Somozas por terem trazido ordem, prosperidade e legados.

Umas faixas do Lado B se indignam com câmeras em PMs, mas encorajam seus filhos a agir como miniaturas da Gestapo e filmar professores e delatá-los como marxistas subversivos, enquanto escutam a infra-sub mentalidade facinora de Olavos de Carvalhos, Cosntantinos, Allans dos Santos, Nikolas Ferreiras e Brasil Paralelo. Outras faixas do lado B se enojam, com razao, com o AI-5, mas aplaudem regimes cujas crianças são guiadas como versões infantis da Stasi ao escrever redações que enaltecem líderes tiranos.

Umas faixas se horrorizam com o cancelamento propagado por idiotas da outra faixa do patrulhamento ideológico woke, mas aplaudem a imposição de dogmas religiosos fundamentalistas e medievais como normas de conduta de uma sociedade. Acham medonhas as invasões dos movimentos sem terra e sem teto, mas fazem vista grossa pras grilagens em terras indígenas e em condomínios de luxo.

Faixas desse lado B de Bocal gritam liberdade de expressao enquanto pregam o AI-5 e a censura enquanto a outras faixas lutam contra golpistas mas idolatram tiranos.

E todas as faixas fingem ignorar o custo econômico e político que estas ditaduras trouxeram.

Esqueçam a tortura, censura e exílios e pesquisem o estrago econômico,financeiro, inflacionário e de corrupção generalizada, a eliminaclção de novas ideias, novas lideranças e figuras partidárias que as ditaduras de ambas a faixas deixaram como legado ao fim de seus desgovernos mediocres, corruptos e incompetentes.

E tem gente que gosta de escutá-los, os energúmenos e facínoras do lado B, com fervor, achando que ser de direita ou esquerda é ser como eles.

Ah, mas O Condor e Infinita Highway sao legais.

Sim, claro, sem dúvida…

[forgetaboutluna]

Nations present in the Men's G in Sölden

Switzerland

Croatia

Norway

Slovenia

Germany

Italy

Austria

United States

France

Belgium

Netherlands

Denmark

Sweden

Brazil

Argentina

Canada

Estonia

Lithuania

Australia

Slovakia

Japan

Spain

Poland

This is a total of 23 Nations. And I've just got an idea for a Python dictionary (I'm currently learning that in Uni)

[luxbaca]

Check out this listing I just added to my Poshmark closet: Reed Krakoff Suede and Snakeskin Sandals.

[mohankunmars]

Argentina Software Development Market - Forecast (2023 - 2028)

Argentina Software Development Market is evaluated to be highly promising because of active government policies. The Argentine government is actively promoting various e-government projects as well as the development of an information society through the expansion of PC distribution and the rapid use of smartphones. In particular, the software industry has been designated as one of the strategic fostering industries and various support has been strengthened. Additionally, the low PC penetration rate is also a factor that brightens the development prospects of the Argentine IT industry. Argentina is considered to be very advantageous for the development of the IT industry such as software because it has abundant talented manpower among Latin American countries. Recently, Argentina has also been attracting attention as an IT service center owing to its high level of technology and high-quality labor. The Argentina Software Development market is analyzed to be EUR 4,220 million in 2021 and is projected to reach EUR 5,878 million in 2027, growing at a CAGR of 5.85 % during the forecast period of 2022-2027.

Report Coverage

The report: “Argentina Software Development Industry Outlook – Forecast (2022-2027)” by IndustryARC covers an in-depth analysis of the following segments in the Japan Software Development Industry.

By Language: Java, JavaScript, Python, C++, PHP, Scala, Ruby, LISA, Perl, SQL, Android, iOS, and Others

By Market Demand: In House on Payroll, Hired from Secondment Providers, Hired Freelancers, Fully Outsourced

By Deployment Type: On-Premise, Cloud

By Business Size: Small and Medium Business, Enterprise, and Government

By End Use Industry: Banking And Financial Institution, Insurance Firms, Media and Entertainment, Government, Defense, Telecommunication, Automotive, Consumer Goods and Retail, Healthcare, Manufacturing and Others

Request Sample

Key Takeaways

Argentina's software development market is being driven by a number of factors, including the increasing adoption of digital transformation by businesses, the growing demand for e-commerce and online services, and The emergence of AI and ML technologies

Argentina has a strong pool of talented software developers. This is due to the country's strong investment in education and its focus on science and technology. Argentine software developers are known for their skills and experience in a variety of software development technologies and platforms.

Argentina offers a competitive cost advantage for software development services. This is due to the country's relatively low labor costs and its favorable exchange rate. Argentine software development companies are able to offer high-quality services at competitive prices.

Argentina  Software Development – Market Scope and Coverage

The base year of the study is 2021, with forecast done up to 2027. The study presents a thorough analysis of the competitive landscape, taking into account the market shares of the leading companies. The assessment includes the forecast, an overview of the competitive structure, the market shares of the competitors, as well as the market trends, market demands, market drivers, market challenges, and product analysis. These provide the key market participants with the necessary business intelligence and help them understand the future of the Argentina Software Development Market. 

Argentina  Software Development – By Language

By language, the software market is further fragmented into Java, JavaScript, Python, C++, PHP, Scala, Ruby, LISA, Perl, SQL, Android, iOS, and others. Above all, the Python segment held the largest market share in 2021 among other programming languages. Various institutes in the region including Coursera provide python certification and online learning courses and assist in mastering the concepts of python and its libraries including SciPy, Matlotlib among others.

Argentina  Software Development – By Market Demand

In terms of market demand, the market is segmented by In House on Payroll, Hired from Secondment Providers, Hired Freelancers and Fully Outsourced. The inhouse on payroll segment accounted for the biggest revenue share in 2021 and is projected to grow at a higher rate. The main reason for this is the high quality of education availability in the region. In Argentina, there are 7 universities in the region ranking among the top 50 Latin American universities. Owing to the free tuition fees for higher education, the region has one of the highly educated population in Latin America.

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Argentina  Software Development – By Deployment Type

By deployment type, the Cloud segment had the majority of overall market share in 2021 due to increasing Cloud Data center in Argentina. In October 2019, Amazon Web Services, a on-demand cloud computing platform management company, invested approximately $800 million over a decade in a new South American data center in Argentina. Besides, IBM stared to provide cloud services for insurance firms in Argentina. Hence, major players providing cloud services to the insurance firms is set to fuel its market growth.

Argentina  Software Development – By Business Size

With regard to business size, the Small and Medium Business segment had the highest market share in 2021. During the COVID-19 Pandemic, The Argentina government issued a series of economic relief measures, primarily focusing on the informal workers that account for 40 percent of the labor force as well as small and medium size enterprises (SMEs). The government prohibited employers from terminating employment until April 2021 and mandated a double severance payment until December 31, 2021. Such factors are expected to fuel its market growth.

Argentina  Software Development – By End Use Industry

By end-use industry,  the market is poised with respect to the end use industries to be processed including Banking and Financial Institution, Insurance Firms, Media and Entertainment, Government, Defense, Telecommunication, Automotive, Consumer Goods and Retail, Healthcare, Manufacturing, and others. The Consumer Goods and Retail segment generated the largest market share in 2021 based on the growing penetration of internet and increasing amount of consumer goods purchased on the Internet in Argentina.  8% of Argentina's total population is estimated to have used e-commerce services for the first time in self-isolation, and the number of people using E-commerce is expected to increase further as the current economic situation in the region continues.  Argentina  Software Development Market drivers Argentina’s software development is one of the major backbones of the South American IT market, and the growing number of unicorn IT companies in the region coupled with increasing interest of investors, is set to drive the growth of the underlying market. For instance, according to the 2019 Software And Computer Services Industry Permanent Observatory (OPPSI) report, the software development in Argentina is one of the major sources of foreign investments and account for 58% of the total investments. Furthermore, the emergence of successful software development companies in the region including  Globant, Prominente, Baufest, Neuralsoft, Calipso among others is set to boost the growth of the underlying market. 

[ibarrau]

Fabric Rest API ahora en SimplePBI

La Data Web trae un regalo para esta navidad. Luego de un gran tiempo de trabajo, hemos incorporado una gran cantidad de requests provenientes de la API de Fabric a la librería SimplePBI de python . Los llamados globales ya están en preview y hemos intentado abarcar los más destacados.

Este es el comienzo de un largo camino de desarrollo que poco a poco intentar abarcar cada vez más categorías para facilitar el uso como venimos haciendo con Power Bi hace años.

Este artículo nos da un panorama de que hay especificamente y como comenzar a utilizarla pronto.

Para ponernos en contexto comenzamos con la teoría. SimplePBI es una librería de Python open source que vuelve mucho más simple interactuar con la PowerBi Rest API. Ahora incorpora también Fabric Rest API. Esto significa que no tenemos que instalar una nueva librería sino que basta con actualizarla. Esto podemos hacerlo desde una consola de comandos ejecutando pip siempre y cuando tengamos python instalado y PIP en las variables de entorno. Hay dos formas:

pip install --upgrade SimplePBI pip install -U SimplePBI

Necesitamos una versión 1.0.1 o superior para disponer de la nueva funcionalidad.

Pre requisitos

Tal como lo hacíamos con la PowerBi Rest API, lo primero es registrar una app en azure y dar sus correspondientes permisos. De momento, todos los permisos de Fabric se encuentran bajo la aplicación delegada "Power Bi Service". Podes ver este artículo para ejecutar el proceso: https://blog.ladataweb.com.ar/post/740398550344728576/seteo-powerbi-rest-api-por-primera-vez

Características

La nueva incorporación intentará cubrir principalmente dos categorías indispensables de la Rest API. Veamos la documentación para guiarnos mejor: https://learn.microsoft.com/en-us/rest/api/fabric/articles/api-structure

A la izquierda podemos ver todas las categorías bajo las cuales consultar u operar siempre y cuando tengamos permisos. Fabric ha optado por denominar "Items" a cada tipo de contenido creable en su entorno. Por ejemplo un item podría ser un notebook, un modelo semántico o un reporte. En este primer release, hemos decidido enfocarnos en las categorías más amplias. Estamos hablando de Admin y Core. Cada una contiene una gran cantidad métodos. Una enfocada en visión del tenant y otro en operativo de la organización. Admin contiene subcategorías como domains, items, labels, tenant, users, workspaces. En core encontraremos otra como capacities, connections, deployment pipelines, gateways, items, job scheduler, long running operations, workspaces.

La forma de uso es muy similar a lo que simplepbi siempre ha presentado con una ligera diferencia en su inicialización de objeto, puesto que ahora tenemos varias clases en un objeto como admin o core.

Para importar llamaremos a fabric desde simplepbi aclarando la categoría deseada

from simplepbi.fabric import core

Para autenticar vamos a necesitar valores de la app registrada. Podemos hacerlo por service principal con un secreto o nuestras credenciales. Un ejemplo para obtener un token que nos permita utilizar los objetos de la api con service principal es:

t = token.Token(tenant_id, app_client_id, None, None, app_secret_key, use_service_principal=True)

Vamos intentar que las categorías de la documentación coincidan con el nombre a colocar luego de importar. Sin embargo, puede que algunas no coincidan como "Admin" de fabric no puede usarse porque ya existe en simplepbi. Por lo tanto usariamos "adminfab". Luego inicializamos el objeto con la clase deseada de la categoría de core.

it = core.Items(t.token)

De este modo tenemos accesibilidad a cada método en items de core. Por ejemplo listarlos:

Consideraciones

No todos los requests funcionan con Service Principal. La documentación especifica si podremos usar dicha autenticación o no. Leamos con cuidado en caso de fallas porque podría no soportar ese método.

Nuevos lanzamientos en core y admin. Nos queda un largo año en que buscaremos tener esas categorías actualizadas y poco a poco ir planificando bajo prioridad cuales son las más atractivas para continuar.

Para conocer más, seguirnos o aportar podes encontrarnos en pypi o github.

Recordemos que no solo la librería esta incorporando estos requests como preview sino también que la Fabric API esta cambiando cada día con nuevos lanzamientos y modificaciones que podrían impactar en su uso. Por esto les pedimos feedback y paciencia para ir construyendo en comunidad una librería más robusta.

[homestuck-human-generator]

Name: Citizen Ruth Henson Color: Argentina Blue #6cb4ee Symbol: elderberry Strife Specibus: 2xpaperkind Handle: tepidGamin Animal: zebrule Pronouns: it/its Age: 18 Birthday: 39th day of the year Sexuality: bisexual Interests: wikipedia editing and flying Dream Moon: prospit Classpect: Mage of Life Land: Land of Maps and Carpet, a calm place, with distinct Brown water python consorts. It is a place full of islands and peninsulas. Mnemosyne is in pain. Instrument: ravanastron

[vizalytiq]

According to the U.S. Census Bureau, Hispanic Heritage Month encompasses 21 Latin American nations. Among these flags, the primary colors of red, white, and blue collectively account for 80% of the color composition.

Notably, 66% of Argentina, El Salvador, Guatemala, Honduras, and Nicaragua's flags are predominantly blue, while 66% of Peru's flag is characterized by the color red.

Treemap inspired by flagstories.co, a project by Ferdio.

#treemap #tableau #python #colors #color #hues #hue #hispanic #latin #latinamerican #hispanicheritagemonth #flag #flags #latino #latina #southamerica #centralamerica #carribean #datavisualization #dataviz #visualization #graphicdesign #datavizsociety #data #viz #dataanalytics #charts #graphs #infographic #datavisualisation #peru #bolivia #spain #mexico #puertorico #colombia #venezuela #elsalvador #chile #argentina #panama #guatemala #honduras #dominicanrepublic #cuba #costarica #ecuador #equatorialguinea #nicaragua #paraguay #uruguay #tableau #pandas #inforgraphics #analytics #pythonprogramming #pythoncode

[aimarketresearch]

Software-Defined Networking Orchestration Market Size, Share, Trends, Key Drivers, Demand and Opportunities

Global Software Development Artificial Intelligence (AI) Market  - Size, Share, Demand, Industry Trends and Opportunities

Global Software Development Artificial Intelligence (AI) Market, By Programming Language (Python, R, Lisp, Prolog, Java, Others), Development Phases (Planning, Knowledge Acquisition and Analysis, System Evaluation), Approaches (Natural Language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining, Others), Application (Expert System, Project Management, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) - Industry Trends

Access Full 350 Pages PDF Report @

**Segments**

- **Component**: The software development AI market can be segmented based on component into software tools and platforms. Software tools are essential for developers to streamline their coding process and improve productivity. AI-powered platforms offer a more comprehensive solution by integrating various tools for different stages of software development.

- **Deployment Mode**: This segment includes on-premises and cloud-based deployment models. On-premises deployment provides more control and security but requires higher upfront costs and maintenance. Cloud-based deployment offers scalability and flexibility, making it a popular choice for many organizations looking to leverage AI in software development.

- **End-User**: The end-user segment categorizes the market based on who utilizes software development AI solutions. This includes large enterprises, small and medium-sized enterprises (SMEs), and individual developers. Each category has unique requirements and preferences when it comes to adopting AI technologies for software development.

**Market Players**

- **Microsoft Corporation**: A key player in the software development AI market, Microsoft offers various AI tools and platforms like Azure Machine Learning and Visual Studio IntelliCode. These solutions cater to developers looking to incorporate AI capabilities into their software development process.

- **Google LLC**: Google is at the forefront of AI technology with products like TensorFlow and Cloud AI platform. Their AI-driven tools help developers build intelligent applications and streamline software development tasks.

- **IBM Corporation**: IBM provides AI solutions through its Watson platform, aimed at enhancing software development processes with cognitive capabilities. Their offerings include natural language processing tools and predictive analytics for developers.

- **Amazon Web Services, Inc. (AWS)**: As a leading cloud service provider, AWS offers AI services such as Amazon SageMaker for building, training, and deploying machine learning models. These tools empower developers to leverage AI for software development in a scalable and cost-effective manner.

- **Intel Corporation**: Intel focuses on AI hardware and software solutions, including AI accelerators and optimized frameworks for developers. By offering AI-specific technologies, Intel contributes to advancing the capabilities of AI-drivenThe software development AI market is a rapidly evolving landscape with various segments catering to different needs and preferences of developers and organizations. One of the key segments in this market is based on components, which can be categorized into software tools and platforms. Software tools play a crucial role in enhancing developers' efficiency by streamlining coding processes and improving productivity. On the other hand, AI-powered platforms offer a more comprehensive solution by integrating a variety of tools tailored for different stages of software development. This segmentation allows developers to choose the right components that align with their specific requirements and workflow.

Another significant segment in the software development AI market is based on deployment modes, which include on-premises and cloud-based models. On-premises deployment provides organizations with more control and security over their data but requires higher upfront costs and maintenance. In contrast, cloud-based deployment offers scalability and flexibility, making it an attractive option for organizations looking to leverage AI capabilities without the burden of infrastructure management. This segment provides developers and organizations with the flexibility to choose the deployment mode that best suits their needs and constraints.

The end-user segment further categorizes the software development AI market based on the entities that utilize AI solutions for software development. This segment includes large enterprises, small and medium-sized enterprises (SMEs), and individual developers, each with unique requirements and preferences when it comes to adopting AI technologies. Large enterprises often seek AI solutions to drive innovation and gain a competitive edge, while SMEs look for cost-effective solutions that can enhance their development processes. Individual developers, on the other hand, may prioritize tools that improve their coding efficiency and help them stay competitive in the market. Understanding the distinct needs of these end-user groups is crucial for market players to develop tailored AI solutions that address specific pain points and drive adoption.

In terms of market players, companies like Microsoft Corporation, Google LLC, IBM Corporation, Amazon Web Services, Inc. (AWS), and Intel Corporation are key players shaping the software development AI market. Microsoft offers a range of AI tools**Global Software Development Artificial Intelligence (AI) Market, By Programming Language (Python, R, Lisp, Prolog, Java, Others), Development Phases (Planning, Knowledge Acquisition and Analysis, System Evaluation), Approaches (Natural Language Processing Techniques, Neural Networks, Fuzzy Logic, Ant Colony Optimization (ACO), General Algorithm, Tabu Search, Bee Colony, Data Mining, Others), Application (Expert System, Project Management, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) - Industry Trends and Forecast to 2029

The software development AI market is witnessing significant growth and evolution driven by advancements in programming languages, development phases, approaches, and applications. Python, R, Lisp, Prolog, and Java are prominent programming languages utilized in AI development, each offering specific advantages and functionalities. The different development phases, including planning, knowledge acquisition and analysis, and system evaluation, play a crucial role in the software development AI process, enabling developers to create intelligent and efficient solutions. Various approaches such as natural language processing techniques, neural networks, fuzzy logic, and data mining enhance the capabilities

Core Objective of Software Development Artificial Intelligence (AI) Market:

Every firm in the Software Development Artificial Intelligence (AI) Market has objectives but this market research report focus on the crucial objectives, so you can analysis about competition, future market, new products, and informative data that can raise your sales volume exponentially.

Size of the Software Development Artificial Intelligence (AI) Market and growth rate factors.

Important changes in the future Software Development Artificial Intelligence (AI) Market.

Top worldwide competitors of the Market.

Scope and product outlook of Software Development Artificial Intelligence (AI) Market.

Developing regions with potential growth in the future.

Tough Challenges and risk faced in Market.

Global Software Development Artificial Intelligence (AI) top manufacturers profile and sales statistics.

Key takeaways from the Software Development Artificial Intelligence (AI) Market report:

Detailed considerate of Software Development Artificial Intelligence (AI) Market-particular drivers, Trends, constraints, Restraints, Opportunities and major micro markets.

Comprehensive valuation of all prospects and threat in the

In depth study of industry strategies for growth of the Software Development Artificial Intelligence (AI) Market-leading players.

Software Development Artificial Intelligence (AI) Market latest innovations and major procedures.

Favorable dip inside Vigorous high-tech and market latest trends remarkable the Market.

Conclusive study about the growth conspiracy of Software Development Artificial Intelligence (AI) Market for forthcoming years.

Frequently Asked Questions

What is the Future Market Value for Software Development Artificial Intelligence (AI) Market?

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What are the Major Companies Operating in the Software Development Artificial Intelligence (AI) Market?

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[brookston]

Holidays 8.17

Holidays

Archeology Day

Baby Boomers Recognition Day

Balloon Airmail Day

Black Cat Appreciation Day

Cartoon Day

Coats’ Disease Awareness Day

Congressional Startup Day

Davy Crockett Day

Discovery Day (Yukon Territories, Canada)

817 Day

Engineer’s Day (Colombia)

Flag Day (Bolivia)

Jade Day

Lois Lane Day

Marcus Garvey Day (Jamaica, Rastafari)

National Abel Day

National David Day

National Engineers’ Day (Colombia)

National I Love My Feet Day

National Marilyn Day

National Massachusetts Day

National Meaning of "Is" Day

National Nonprofit Day

National #2 Pencil Day

National Termite Protection Day

National Thrift Shop Day

National Workers’ Comp Adjuster Day

Parsi New Year’s Day (Nauraj, India)

Phineas & Ferb Day

Pike Place Market Day

Prekmurje Union Day (Slovenia)

San Martin Day (Argentina)

World Eggplant Day

World Pedestrian Day

Wrench Day

Food & Drink Celebrations

Burgers to Beat MS Day (Canada)

Buttered Popcorn Day

Drink Coffee at the Office from a Sippy Cup Day

National Vanilla Custard Day

3rd Thursday in August

National Hazy IPA Day [3rd Thursday]

Surströmingspremiären (Sour Herring Premiere; Sweden) [3rd Thursday]

Independence Days

Gabon (from France, 1960)

Indonesia (from Japan, 1945)

Feast Days

Agostino Carracci (Artology)

Cat Nights begin (Ancient Ireland)

Clare of Montefalco (Christian; Saint)

Day of the Sacred Grove (Pagan)

Feast of Our Lady of Knock

Festival of Diana (Ancient Rome)

Gnocchi Gnawing Day (Pastafarian)

Hyacinth of Poland (Christian; Saint)

Jeanne Delanoue (Christian; Saint)

Lacaille (Positivist; Saint)

Liberatus, and six monks (Christian; Martyrs)

Mamas (Christian; Saint)

Odin’s Ordeal begins (Norse) [thru 25th]

Portunalia (Festival of Keys; Ancient Rome)

Samuel Johnson, Timothy Cutler, and Thomas Bradbury Chandler (Episcopal Church)

Sharon Mitchell Day (Church of the SubGenius; Saint)

Walter (Muppetism)

Lucky & Unlucky Days

Prime Number Day: 229 [50 of 72]

Tomobiki (友引 Japan) [Good luck all day, except at noon.]

Premieres

After Lorca, by Jack Spicer (Poetry; 1957)

Animal Farm, by George Orwell (Novel; 1946)

Bloody Kisses, by Type O Negative (Album; 1993)

Chili Weather (WB MM Cartoon; 1963)

Cruel to Be Kind, by Nick Lowe (Song; 1979)

Disenchantment (Animated TV Series; 2018)

Ducking the Devil (WB MM Cartoon; 1957)

Dust, by Hugh Howey (Novel; 2013)

Enter the Dragon (Film; 1973)

Fight Club, by Chuck Palahniuk (Novel; 1996)

Franks Wild Years, by Tom Wait (Album; 1987)

Götterdämmerung (Twilight of the Gods), by Richard Wagner (Opera; 1876) [Ring of the Nibelung #4]

Jeremy, by Pearl Jam (Song; 1992)

Kind of Blue, by Miles Davis (Album; 1959)

Luxo, Jr. (Pixar Cartoon; 1986)

The Merry Old Soul (WB MM Cartoon; 1935)

Monty Python’s Life of Brian (Film; 1979)

My Blue Heaven (Film; 1990)

ParaNorman (Animated Film; 2012)

Phineas & Ferb (Animated TV Series; 2007)

Rat Race (Film; 2001)

Roots: The Saga of an American Family, by Alex Haley (Novel; 1976)

She-Hulk: Attorney at Law (TV Series; 2022)

Soul Train (Music Variety TV Series; 1970)

Superbad (Film; 2007)

Taking Care of Business (Film; 1990)

Tiger Rag, recorded by The Original Dixieland Jazz Band (Song; 1917)

Tulips & Chimneys, by e.e.cummings (Poetry; 1923)

Wild at Heart (Film; 1990)

Today’s Name Days

Gudrun, Hyazinth, Janine (Austria)

Hijacint, Klara, Liberat, Miron, Natalija (Croatia)

Petra (Czech Republic)

Anastatius (Denmark)

Saamo, Saamu, Saamuel (Estonia)

Venni, Verneri (Finland)

Hyacinthe (France)

Clara, Gudrun, Hyazinth, Janine (Germany)

Lefkothea, Miron, Straton (Greece)

Jácint (Hungary)

Giacinto (Italy)

Anaida, Drosmis, Oļegs, Vilibalds, Vineta (Latvia)

Hiacintas, Laisvydas, Mažvilė (Lithuania)

Verner, Wenche (Norway)

Anastazja, Angelika, Anita, Bertram, Eliza, Jacek, Jaczewoj, Joanna, Julianna, Liberat, Miron, Żanna, Zawisza (Poland)

Darya (Russia)

Milica (Slovakia)

Beatriz, Eusebio, Jacinto (Spain)

Valter, Verner (Sweden)

Hyacinth, Jachinth, Jacinda, Magnolia, Pansy (USA)

Today is Also…

Day of Year: Day 229 of 2024; 136 days remaining in the year

ISO: Day 4 of week 33 of 2023

Celtic Tree Calendar: Coll (Hazel) [Day 10 of 28]

Chinese: Month 7 (Geng-Shen), Day 2 (Ding-Wei)

Chinese Year of the: Rabbit 4721 (until February 10, 2024)

Hebrew: 30 Av 5783

Islamic: 30 Muharram 1445

J Cal: 19 Hasa; Fiveday [19 of 30]

Julian: 3 August 2023

Moon: 1.5%: Waxing Crescent

Positivist: 5 Gutenberg (9th Month) [Lacaille]

Runic Half Month: As (Gods) [Day 5 of 15]

Season: Summer (Day 57 of 94)

Zodiac: Leo (Day 26 of 31)

[brookstonalmanac]

Holidays 8.17

Holidays

Archeology Day

Baby Boomers Recognition Day

Balloon Airmail Day

Black Cat Appreciation Day

Cartoon Day

Coats’ Disease Awareness Day

Congressional Startup Day

Davy Crockett Day

Discovery Day (Yukon Territories, Canada)

817 Day

Engineer’s Day (Colombia)

Flag Day (Bolivia)

Jade Day

Lois Lane Day

Marcus Garvey Day (Jamaica, Rastafari)

National Abel Day

National David Day

National Engineers’ Day (Colombia)

National I Love My Feet Day

National Marilyn Day

National Massachusetts Day

National Meaning of "Is" Day

National Nonprofit Day

National #2 Pencil Day

National Termite Protection Day

National Thrift Shop Day

National Workers’ Comp Adjuster Day

Parsi New Year’s Day (Nauraj, India)

Phineas & Ferb Day

Pike Place Market Day

Prekmurje Union Day (Slovenia)

San Martin Day (Argentina)

World Eggplant Day

World Pedestrian Day

Wrench Day

Food & Drink Celebrations

Burgers to Beat MS Day (Canada)

Buttered Popcorn Day

Drink Coffee at the Office from a Sippy Cup Day

National Vanilla Custard Day

3rd Thursday in August

National Hazy IPA Day [3rd Thursday]

Surströmingspremiären (Sour Herring Premiere; Sweden) [3rd Thursday]

Independence Days

Gabon (from France, 1960)

Indonesia (from Japan, 1945)

Feast Days

Agostino Carracci (Artology)

Cat Nights begin (Ancient Ireland)

Clare of Montefalco (Christian; Saint)

Day of the Sacred Grove (Pagan)

Feast of Our Lady of Knock

Festival of Diana (Ancient Rome)

Gnocchi Gnawing Day (Pastafarian)

Hyacinth of Poland (Christian; Saint)

Jeanne Delanoue (Christian; Saint)

Lacaille (Positivist; Saint)

Liberatus, and six monks (Christian; Martyrs)

Mamas (Christian; Saint)

Odin’s Ordeal begins (Norse) [thru 25th]

Portunalia (Festival of Keys; Ancient Rome)

Samuel Johnson, Timothy Cutler, and Thomas Bradbury Chandler (Episcopal Church)

Sharon Mitchell Day (Church of the SubGenius; Saint)

Walter (Muppetism)

Lucky & Unlucky Days

Prime Number Day: 229 [50 of 72]

Tomobiki (友引 Japan) [Good luck all day, except at noon.]

Premieres

After Lorca, by Jack Spicer (Poetry; 1957)

Animal Farm, by George Orwell (Novel; 1946)

Bloody Kisses, by Type O Negative (Album; 1993)

Chili Weather (WB MM Cartoon; 1963)

Cruel to Be Kind, by Nick Lowe (Song; 1979)

Disenchantment (Animated TV Series; 2018)

Ducking the Devil (WB MM Cartoon; 1957)

Dust, by Hugh Howey (Novel; 2013)

Enter the Dragon (Film; 1973)

Fight Club, by Chuck Palahniuk (Novel; 1996)

Franks Wild Years, by Tom Wait (Album; 1987)

Götterdämmerung (Twilight of the Gods), by Richard Wagner (Opera; 1876) [Ring of the Nibelung #4]

Jeremy, by Pearl Jam (Song; 1992)

Kind of Blue, by Miles Davis (Album; 1959)

Luxo, Jr. (Pixar Cartoon; 1986)

The Merry Old Soul (WB MM Cartoon; 1935)

Monty Python’s Life of Brian (Film; 1979)

My Blue Heaven (Film; 1990)

ParaNorman (Animated Film; 2012)

Phineas & Ferb (Animated TV Series; 2007)

Rat Race (Film; 2001)

Roots: The Saga of an American Family, by Alex Haley (Novel; 1976)

She-Hulk: Attorney at Law (TV Series; 2022)

Soul Train (Music Variety TV Series; 1970)

Superbad (Film; 2007)

Taking Care of Business (Film; 1990)

Tiger Rag, recorded by The Original Dixieland Jazz Band (Song; 1917)

Tulips & Chimneys, by e.e.cummings (Poetry; 1923)

Wild at Heart (Film; 1990)

Today’s Name Days

Gudrun, Hyazinth, Janine (Austria)

Hijacint, Klara, Liberat, Miron, Natalija (Croatia)

Petra (Czech Republic)

Anastatius (Denmark)

Saamo, Saamu, Saamuel (Estonia)

Venni, Verneri (Finland)

Hyacinthe (France)

Clara, Gudrun, Hyazinth, Janine (Germany)

Lefkothea, Miron, Straton (Greece)

Jácint (Hungary)

Giacinto (Italy)

Anaida, Drosmis, Oļegs, Vilibalds, Vineta (Latvia)

Hiacintas, Laisvydas, Mažvilė (Lithuania)

Verner, Wenche (Norway)

Anastazja, Angelika, Anita, Bertram, Eliza, Jacek, Jaczewoj, Joanna, Julianna, Liberat, Miron, Żanna, Zawisza (Poland)

Darya (Russia)

Milica (Slovakia)

Beatriz, Eusebio, Jacinto (Spain)

Valter, Verner (Sweden)

Hyacinth, Jachinth, Jacinda, Magnolia, Pansy (USA)

Today is Also…

Day of Year: Day 229 of 2024; 136 days remaining in the year

ISO: Day 4 of week 33 of 2023

Celtic Tree Calendar: Coll (Hazel) [Day 10 of 28]

Chinese: Month 7 (Geng-Shen), Day 2 (Ding-Wei)

Chinese Year of the: Rabbit 4721 (until February 10, 2024)

Hebrew: 30 Av 5783

Islamic: 30 Muharram 1445

J Cal: 19 Hasa; Fiveday [19 of 30]

Julian: 3 August 2023

Moon: 1.5%: Waxing Crescent

Positivist: 5 Gutenberg (9th Month) [Lacaille]

Runic Half Month: As (Gods) [Day 5 of 15]

Season: Summer (Day 57 of 94)

Zodiac: Leo (Day 26 of 31)